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    "# ATAC + RNA 多组学：DORC 分析\n",
    "## 1. 教程简介\n",
    "本教程基于 **`Seurat`** 和 **`Signac`** 等单细胞多组学分析工具，专门用于对 **SeekArc 单细胞多组学数据（scRNA-seq + scATAC-seq）** 进行深度的 **DORC (Domains of Regulatory Chromatin, 调控染色质结构域)** 分析。该教程面向已完成基础质控、细胞群注释及初步 Peak Calling 的 SeekArc 多组学数据，通过整合染色质可及性与基因表达水平，实现以下三大核心分析目标：\n",
    "*   **Peak-Gene 关联网络构建 (Peak-to-Gene Linkage)**：基于共变性假设，计算每个基因与其附近（通常在数百 kb 范围内）各个 Peak 的相关性，识别具有显著顺式调控关系的 Peak-Gene 调控对。\n",
    "*   **DORC 基因鉴定 (DORC Identification)**：突破单个增强子调控的局限，寻找受大量（如 ≥ 10 个）顺式调控元件协同控制的超级靶基因。这些 DORC 基因通常是决定细胞命运、维持细胞状态或驱动疾病进展的核心调控枢纽。\n",
    "*   **DORC 活性评估与细胞特异性分析 (Activity Scoring & Differential Analysis)**：将每个 DORC 基因关联的多个 Peak 的开放度信号进行整合，量化其在单细胞水平上的综合调控活性，并通过差异分析和聚类热图揭示决定特定细胞状态的深层生物学机制。\n"
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    "suppressPackageStartupMessages(suppressWarnings({\n",
    "    library(future)\n",
    "    library(Seurat)\n",
    "    library(BiocGenerics)\n",
    "    library(S4Vectors)\n",
    "    library(IRanges)\n",
    "    library(Signac)\n",
    "    library(ComplexHeatmap)\n",
    "    library(Biobase)\n",
    "    library(AnnotationDbi)\n",
    "    library(stringr)\n",
    "    library(dplyr)\n",
    "    library(foreach)\n",
    "    library(doParallel)\n",
    "}))"
   ]
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   "source": [
    "## 2. 输入文件与参数配置\n",
    "### 2.1 输入文件要求 \n",
    "本分析教程基于已经初步处理好的 Seurat 多组学对象进行 DORC (Domains of Regulatory Chromatin) 分析。开始分析前，需要准备以下几类核心输入文件：\n",
    "- `input.rds`：预处理完成的 Seurat 对象文件。该对象必须同时包含 `RNA` 和 `ATAC` 两个 Assay，并且 ATAC 模态中需要已经完成基本的 Peak Calling，以及降维聚类分析。\n",
    "- `meta.tsv`：细胞元数据文件（制表符分隔，可选）。用于提供额外的细胞注释信息。必须包含用于定义细胞类型和样本分组的对应列，以便后续按需进行细胞亚群的精准提取和降维聚类分析。\n",
    "- `genome.fa`：对应物种的参考基因组 FASTA 文件。主要作用是根据 ATAC peaks 的基因组坐标信息，提取出对应的真实 DNA 序列，为后续计算 Peak 的 GC 含量、长度等序列特征（RegionStats），从而构建 Peak-Gene 相关性的背景零模型提供底层序列支持。  \n",
    " \n",
    "### 2.2 核心参数配置 \n",
    "以下参数用于控制文件路径、过滤阈值及分析细节，请根据您的实际数据进行修改：\n"
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    "\n",
    "# rds: 输入的 Seurat 对象 RDS 文件路径，必须包含预处理好的 RNA 和 ATAC 数据。\n",
    "rds = \"/path/to/input.rds\"\n",
    "\n",
    "# meta: 细胞元数据文件路径（TSV格式），用于提供额外的分组或样本信息。若无需添加，可留空。\n",
    "meta = \"/path/to/meta.tsv\"\n",
    "\n",
    "# genome_file: 对应物种的参考基因组 FASTA 文件路径，用于提取序列做 Motif 分析。\n",
    "genome_file = \"/path/to/genome.fa\"\n",
    "\n",
    "# dorc_peak_thresh: 界定 DORC 基因的阈值（通常设定为关联 ≥ 10 个 Peak）。\n",
    "dorc_peak_thresh = \"10\"\n",
    "\n",
    "# clusters_col: 指定 metadata 中哪一列作为细胞亚群的分组依据（如细胞类型）。\n",
    "clusters_col = \"Celltype\"\n",
    "\n",
    "# celltypes: 逗号分隔的字符串，指定要纳入分析的细胞亚群名称。\n",
    "celltypes = \"B cells,CMP,Dividing B cells,Erythroblast,NK cells,pDC,Plasma Cells,Pro B cells,T cells\"\n",
    "\n",
    "# sample_col: 指定 metadata 中哪一列作为样本批次的区分依据。\n",
    "sample_col = \"Sample\"\n",
    "\n",
    "# samples: 逗号分隔的字符串，指定要纳入分析的样本名称。\n",
    "samples = \"25030508_pbmc_1_arc,XYRD_pbmc_2_arc\"\n",
    "\n",
    "# filter: 逻辑值字符串（\"TRUE\"/\"FALSE\"），是否在分析前对 Peak-Gene 关联对进行显著性和方差过滤。\n",
    "filter = \"FALSE\"\n",
    "\n",
    "# corCutOff: 相关性得分过滤阈值（绝对值）。仅在 filter 为 TRUE 时生效。\n",
    "corCutOff = \"\"\n",
    "\n",
    "# pCutOff: P-value 显著性过滤阈值。仅在 filter 为 TRUE 时生效。\n",
    "pCutOff = \"\"\n",
    "\n",
    "# downsample: 逻辑值字符串（\"True\"/\"False\"），是否在分析前对每个细胞亚群进行随机降采样以节省内存。\n",
    "downsample = \"True\"\n",
    "\n",
    "# downsample_num: 降采样数量，每个细胞亚群最多保留的细胞数。仅当 downsample 为 \"True\" 时生效。\n",
    "downsample_num = \"500\""
   ]
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    "\n",
    "# 这里是对上面的参数做一些处理，不需要做任何改动\n",
    "dorc_peak_thresh <- as.numeric(dorc_peak_thresh)\n",
    "\n",
    "outdir <- \"./result/\"\n",
    "dir.create(outdir, recursive = TRUE)\n",
    "\n",
    "celltypes <- strsplit(celltypes,\",\")[[1]]\n",
    "samples <- strsplit(samples,\",\")[[1]]\n",
    "\n",
    "filter <- as.logical(filter)\n",
    "corCutOff <- as.numeric(corCutOff)\n",
    "pCutOff <- as.numeric(pCutOff)\n"
   ]
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    "## 3. 数据加载与预处理\n",
    "### 3.1 初始化环境与并行计算\n",
    "在正式加载数据前，设置并行的核心数和内存限制，以加速后续的分析步骤。\n"
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    "# 初始化并行计算框架\n",
    "if (requireNamespace(\"future\", quietly = TRUE)) {\n",
    "    cores <- parallelly::availableCores()\n",
    "    workers <- as.integer(floor(cores * 0.6))\n",
    "    \n",
    "    if (.Platform$OS.type == \"unix\") {\n",
    "        future::plan(future::multicore, workers = workers)\n",
    "    } else {\n",
    "        future::plan(future::multisession, workers = workers)\n",
    "    }\n",
    "    \n",
    "    message(\"Footprint 并行计算已启动，总核心数=\", cores, \"，使用 \", workers, \" 个工作线程\")\n",
    "}\n",
    "\n",
    "# 动态设置 future 全局变量大小限制为系统内存的 60%\n",
    "if (requireNamespace(\"memuse\", quietly = TRUE)) {\n",
    "    total_mem <- memuse::Sys.meminfo()$totalram\n",
    "    total_mem_bytes <- as.numeric(total_mem)  # 已经是字节了！\n",
    "    future_mem <- total_mem_bytes * 0.6\n",
    "    future_mem_gb <- future_mem / 1024^3\n",
    "    total_mem_gb <- total_mem_bytes / 1024^3\n",
    "} else {\n",
    "    # 如果没有 memuse 包，使用默认 50GB\n",
    "    future_mem <- 50 * 1024^3\n",
    "    future_mem_gb <- 50\n",
    "    total_mem_gb <- 50 / 0.6\n",
    "}\n",
    "options(future.globals.maxSize = future_mem)\n",
    "message(\"系统总内存: \", round(total_mem_gb, 1), \" GB，future 全局变量内存限制设置为: \", round(future_mem_gb, 1), \" GB (60%)\")\n"
   ]
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   "source": [
    "### 3.2 加载 Seurat 对象与元数据\n",
    "读取预处理好的多组学对象，并按需整合额外的细胞分类信息。\n"
   ]
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   "source": [
    "obj <- readRDS(rds)\n",
    "if (meta != \"\"){\n",
    "  meta <- read.table(meta,header=T,sep='\\t',check.names=F)\n",
    "  #rownames(meta) <- meta$barcodes\n",
    "  rownames(meta) <- meta$barcode\n",
    "  obj <- AddMetaData(obj, meta)\n",
    "}\n",
    "Idents(obj) <- obj@meta.data[[clusters_col]]\n"
   ]
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    "### 3.3 细胞类型筛选与下采样平衡\n",
    "为了降低由于某些细胞类型数量极其庞大而导致的假阳性相关性，以及控制整体分析的内存消耗，我们可以根据 `celltypes` 参数提取特定细胞群，并开启 `downsample` 机制对过大的细胞群进行随机抽样。"
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    "if (exists(\"downsample\") && downsample != \"\" && !is.na(as.logical(downsample)) && as.logical(downsample)) {\n",
    "  if (exists(\"downsample_num\") && downsample_num != \"\" && !is.na(as.numeric(downsample_num)) && as.numeric(downsample_num) > 1) {\n",
    "    obj <- subset(obj, downsample = as.numeric(downsample_num))\n",
    "  }\n",
    "}\n",
    "\n",
    "obj <- subset(obj, subset = !!sym(clusters_col) %in% celltypes)\n",
    "obj <- subset(obj, subset = !!sym(sample_col) %in% samples)\n",
    "\n",
    "v <- obj@meta.data[[clusters_col]]\n",
    "sorted_levels <- str_sort(unique(as.character(v)), numeric = TRUE, na_last = TRUE)\n",
    "obj@meta.data[[clusters_col]] <- factor(v, levels = sorted_levels, ordered = TRUE)\n"
   ]
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    "### 3.4 参考基因组处理\n",
    "\n",
    "为后续的 Peak-to-Gene 关联分析中的序列特征提取（RegionStats）做准备，需要先处理基因组序列文件，读取 `genome.fa` 并将其处理为 `DNAStringSet` 对象，同时对齐对象中 ATAC peaks 的染色体名称（保留共有的染色体信息）。\n"
   ]
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   "source": [
    "DefaultAssay(obj) <- \"ATAC\"\n",
    "Idents(obj) <- clusters_col\n",
    "\n",
    "library(Biostrings)\n",
    "genome <- readDNAStringSet(genome_file)\n",
    "names(genome) <- sub(\" .*\", \"\", names(genome)) \n",
    "keep_chromosomes <- unique(as.character(seqnames(granges(obj[[\"ATAC\"]]))))\n",
    "genome <- genome[which(names(genome) %in% keep_chromosomes)]\n",
    "obj@assays$ATAC@ranges <- keepSeqlevels(granges(obj),keep_chromosomes, pruning.mode=\"coarse\")\n"
   ]
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    "## 4. 细胞群间 Peak-to-Gene 关联分析 \n",
    " \n",
    "`Peak-to-Gene` (LinkPeaks) 关联分析是进行 DORC 鉴定的**核心前置步骤**。\n",
    " \n",
    "- **为什么 DORC 分析必须先做 LinkPeaks？**\n",
    " \n",
    "DORC (调控染色质结构域) 的本质是“受极其密集的顺式调控元件协同控制的基因”。因此，要找到这些超级调控枢纽，我们必须先在全基因组范围内穷举并验证**每一个 Peak 与每一个潜在靶基因之间是否真的存在调控关系**。\n",
    " \n",
    "传统的线性距离假设（例如简单认为距离 TSS 最近的 Peak 就是调控该基因的增强子）存在巨大局限性，因为染色质三维折叠使得远端增强子也能跨越数百 kb 调控靶基因。因此，本步骤采用 **“共变性驱动”** 的策略：利用 `Signac` 提供的 `LinkPeaks` 算法，在跨细胞（Pseudobulk）层面上，计算每个 Peak 的可及性与附近基因表达量之间的统计学相关性（Correlation）。\n",
    " \n",
    "- **核心逻辑：**\n",
    "如果某个 Peak 开放度的变化始终伴随着特定靶基因表达量的同步波动，我们就认为该 Peak 是驱动该基因转录的真实增强子。只有当这层最基础的“1对1”调控连接网络构建完成后，我们才能在后续步骤中去统计“哪些基因关联了异常庞大（≥10）的调控元件”，从而完成最终的 DORC 基因鉴定。\n"
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    "# 检查peak-to-gene链接 \n",
    "invisible(capture.output({\n",
    "  suppressMessages(suppressWarnings({ \n",
    "    links_all <- Signac::Links(obj[[\"ATAC\"]]) \n",
    "    \n",
    "    if (length(links_all) == 0) { \n",
    "    \n",
    "      obj <- RegionStats( \n",
    "        object = obj, \n",
    "        genome = genome, \n",
    "        assay = \"ATAC\" \n",
    "      ) \n",
    "      \n",
    "      obj <- LinkPeaks( \n",
    "          object = obj, \n",
    "          peak.assay = \"ATAC\", \n",
    "          expression.assay = \"RNA\" \n",
    "      ) \n",
    "      \n",
    "      links_all <- Signac::Links(obj[[\"ATAC\"]]) \n",
    "      \n",
    "      if (length(links_all) == 0) { \n",
    "        stop(\"未找到peak-to-gene链接\") \n",
    "      } \n",
    "    } \n",
    "    \n",
    "    write.table( \n",
    "      as.data.frame(links_all), \n",
    "      file = file.path(outdir, \"Gene2PeakLinks.xls\"), \n",
    "      sep = \"\\t\", \n",
    "      row.names = FALSE, \n",
    "      col.names = TRUE, \n",
    "      quote = FALSE \n",
    "    )          \n",
    "  }))\n",
    "}))"
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   "source": [
    "saveRDS(obj, file.path(outdir, \"output.rds\"))"
   ]
  },
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   "source": [
    "## 5. DORC 基因鉴定与分析 \n",
    "\n",
    "这是本教程中最核心的分析步骤。在完成全局 Peak-to-Gene 关联分析的基础上，我们将进一步引入 **DORC (Domains of Regulatory Chromatin, 调控染色质结构域)** 的概念，对基因组进行超级调控枢纽的扫描。以实现DORC的鉴定与下游分析和可视化。"
   ]
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   "id": "cccd8004",
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    "execution": {
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   "outputs": [],
   "source": [
    "## DORC分析\n",
    "#.ts_log(\"开始DORC分析（使用 links_all）\")\n",
    "dorc_use_filter <- filter\n",
    "\n",
    "links_dorc <- as.data.frame(links_all)\n",
    "links_dorc <- links_dorc[, c(\"peak\", \"gene\", \"score\", \"pvalue\")]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0eb12c5-c0e1-4a75-a062-22378121d2cf",
   "metadata": {},
   "source": [
    "### 5.1 DORC 基因鉴定\n",
    " \n",
    "对所有显著的 Peak-Gene 连接进行系统性盘点，统计每个靶基因在全基因组范围内所关联的顺式调控元件（Peak）总数。设定严格的背景阈值（由 `dorc_peak_thresh` 参数控制，通常设定为关联 ≥ 10 个 Peak）。当特定基因关联的调控元件数量显著超越该阈值时，该基因即被定义为 **DORC 基因**。"
   ]
  },
  {
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   "execution_count": 11,
   "id": "3b31cd9e",
   "metadata": {
    "editable": true,
    "execution": {
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   "outputs": [],
   "source": [
    "#添加DORC识别图\n",
    "plotGeneLinkCountRank <- function(links, dorc_peak_thresh = 10, label_n = 10, seed = 1) {\n",
    "  set.seed(seed)\n",
    "  link_df <- data.frame(\n",
    "    gene = links$gene,\n",
    "    peak = links$peak,\n",
    "    stringsAsFactors = FALSE\n",
    "  )\n",
    "  link_df <- link_df[!is.na(link_df$gene) & !is.na(link_df$peak), , drop = FALSE]\n",
    "  \n",
    "  # 统计并按 link_count 升序排列 (rank 由小到大)\n",
    "  gene_link_df <- link_df %>%\n",
    "    dplyr::distinct(gene, peak) %>%\n",
    "    dplyr::count(gene, name = \"link_count\") %>%\n",
    "    dplyr::arrange(link_count) %>%\n",
    "    dplyr::mutate(\n",
    "      rank = dplyr::row_number(),\n",
    "      is_dorc = link_count > dorc_peak_thresh\n",
    "    )\n",
    "    \n",
    "  n_dorc <- sum(gene_link_df$is_dorc)\n",
    "  # 因为现在是升序排列，DORC 都在图的右侧\n",
    "  # 分界线应该在总基因数减去 DORC 数量的位置\n",
    "  total_genes <- nrow(gene_link_df)\n",
    "  split_x <- total_genes - n_dorc + 0.5\n",
    "  ymax <- max(gene_link_df$link_count, na.rm = TRUE)\n",
    "  \n",
    "  # 选择 rank 最大（link_count 最大）的 top 基因用于加标签\n",
    "  dorc_genes_df <- gene_link_df %>% dplyr::filter(is_dorc == TRUE)\n",
    "  label_data <- data.frame()\n",
    "  if (nrow(dorc_genes_df) > 0) {\n",
    "    n_sample <- min(label_n, nrow(dorc_genes_df))\n",
    "    label_data <- dorc_genes_df %>%\n",
    "      dplyr::arrange(dplyr::desc(link_count)) %>%\n",
    "      dplyr::slice_head(n = n_sample)\n",
    "  }\n",
    "  \n",
    "  # 定义中等蓝色\n",
    "  dorc_color <- \"#4A90E2\"\n",
    "  \n",
    "label_x <- total_genes / 2\n",
    "\n",
    "p <- ggplot2::ggplot(gene_link_df, ggplot2::aes(x = rank, y = link_count)) +\n",
    "  ggplot2::geom_line(linewidth = 1) +\n",
    "  ggplot2::geom_point(ggplot2::aes(color = is_dorc), size = 1.2, alpha = 0.9) +\n",
    "  ggplot2::geom_vline(xintercept = split_x, linetype = \"dashed\", color = dorc_color) +\n",
    "  ggplot2::geom_hline(yintercept = dorc_peak_thresh, linetype = \"dashed\", color = \"grey50\") +\n",
    "  ggplot2::scale_color_manual(values = c(\"TRUE\" = dorc_color, \"FALSE\" = \"grey70\"), guide = \"none\") +\n",
    "  ggplot2::annotate(\n",
    "    \"text\",\n",
    "    x = label_x,\n",
    "    y = ymax,\n",
    "    label = paste0(\"DORC n=\", n_dorc),\n",
    "    vjust = -0.6,\n",
    "    hjust = 0.5,\n",
    "    color = dorc_color,\n",
    "    size = 4\n",
    "  ) +\n",
    "  ggplot2::labs(\n",
    "    x = \"Rank of genes by linked peak count (Ascending)\",\n",
    "    y = \"Number of linked peaks per gene\"\n",
    "  ) +\n",
    "  ggplot2::theme_classic() +\n",
    "  ggplot2::theme(\n",
    "    legend.position = \"none\",\n",
    "  # text = element_text(family = \"sans\"),\n",
    "    axis.title = ggplot2::element_text(size = 14),\n",
    "    axis.text = ggplot2::element_text(size = 12),\n",
    "    plot.title = ggplot2::element_text(hjust = 0.5, size = 14),\n",
    "    axis.text.x = ggplot2::element_blank(),  # 隐藏x轴刻度标签\n",
    "    axis.ticks.x = ggplot2::element_blank()  # 隐藏x轴刻度线\n",
    "  )\n",
    "    \n",
    "  # 添加 top rank 的 DORC 基因标签\n",
    "  if (nrow(label_data) > 0) {\n",
    "    p <- p + ggrepel::geom_text_repel(\n",
    "      data = label_data,\n",
    "      ggplot2::aes(label = gene),\n",
    "      color = \"black\",\n",
    "      size = 3,\n",
    "      box.padding = 0.5,\n",
    "      point.padding = 0.3,\n",
    "      force = 0.03,\n",
    "      max.overlaps = 50,\n",
    "      segment.color = \"grey50\",\n",
    "      nudge_x = -0.1 * total_genes, # 尽量把标签往左边推一点，避免出界\n",
    "      direction = \"y\"\n",
    "    )\n",
    "  }\n",
    "  \n",
    "  return(p)\n",
    "}"
   ]
  },
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   "outputs": [
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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 300,
       "width": 600
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "options(repr.plot.width = 10, repr.plot.height = 5)\n",
    "print(plotGeneLinkCountRank(links_all, dorc_peak_thresh = dorc_peak_thresh))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad0a6212-08f9-4659-8ab6-2a97ba59b7a9",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "> 💡 **图表解读** \n",
    "> **DORC基因识别排序图 (Peak2GeneGeneLinkCountRank)**：\n",
    "> \n",
    "> - **横轴（X轴）**：代表所有靶基因。基因按照其关联的 Peak 数量由少到多（升序）排列。\n",
    "> - **纵轴（Y轴）**：代表每个靶基因在全基因组范围内显著关联的 Peak 绝对数量。\n",
    "> - **虚线含义**：水平灰色虚线代表界定 DORC 基因的截断阈值（默认关联 ≥ 10 个 Peak）；垂直蓝色虚线将右侧满足阈值条件的超级调控基因（蓝色点）与左侧的普通基因（灰色点）区分开来。\n",
    "> - **文本标注**：图表顶部标注了识别出的 DORC 基因总数，同时在右侧密集区随机抽取了部分具有代表性的 DORC 基因名称进行加粗标记，帮助研究者快速锁定潜在的关键核心驱动基因。\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a67c386-7ee7-4d98-b606-bcedb4bbc52f",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "### 5.2 DORC 活性评估\n",
    " \n",
    "计算每个细胞中靶向同一 DORC 基因的所有 Peak 的累积可及性，生成单细胞水平的 DORC 活性评分（Accessibility Score）矩阵。 这不仅仅是一个简单的计数过程。我们会将属于同一个 DORC 基因的所有相关 Peak 的 ATAC 可及性信号（Pseudobulk Counts）进行**加权或合并计算**，从而为每个细胞群生成一个综合的、代表该 DORC 基因整体上游调控强度的“DORC Score”。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2559c9f5-5b1a-43f6-a805-dd4649ae1bb1",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2026-06-17T08:26:32.197844Z",
     "iopub.status.busy": "2026-06-17T08:26:32.196918Z",
     "iopub.status.idle": "2026-06-17T08:29:56.258748Z",
     "shell.execute_reply": "2026-06-17T08:29:56.257475Z"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "remove-input"
    ],
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "invisible(capture.output({\n",
    "  suppressMessages(suppressWarnings({\n",
    "    \n",
    "    links_dorc <- links_dorc[!is.na(links_dorc$peak) & !is.na(links_dorc$gene), , drop = FALSE] \n",
    "    \n",
    "    if (dorc_use_filter) { \n",
    "      links_dorc <- links_dorc[abs(links_dorc$score) >= corCutOff & links_dorc$pvalue <= pCutOff, , drop = FALSE] \n",
    "    } \n",
    "    \n",
    "    if (nrow(links_dorc) == 0) { \n",
    "      stop(\"DORC分析失败：links_all 在当前阈值下为空\") \n",
    "    } \n",
    "    \n",
    "    atac_counts <- GetAssayData(obj, assay = \"ATAC\", slot = \"counts\") \n",
    "    if (!inherits(atac_counts, \"dgCMatrix\")) atac_counts <- as(atac_counts, \"dgCMatrix\") \n",
    "    \n",
    "    peak_idx <- match(links_dorc$peak, rownames(atac_counts)) \n",
    "    if (any(is.na(peak_idx))) { \n",
    "      stop(\"DORC分析失败：links_all 中存在不在 ATAC counts 中的 peak\") \n",
    "    } \n",
    "    \n",
    "    peak_idx_by_gene <- split(peak_idx, links_dorc$gene) \n",
    "    peak_idx_by_gene <- lapply(peak_idx_by_gene, unique) \n",
    "    peak_count <- vapply(peak_idx_by_gene, length, integer(1)) \n",
    "    peak_idx_by_gene <- peak_idx_by_gene[peak_count > dorc_peak_thresh] \n",
    "    \n",
    "    if (length(peak_idx_by_gene) == 0) { \n",
    "      stop(paste0(\"DORC分析失败：没有基因满足链接peak数 >\", dorc_peak_thresh)) \n",
    "    } \n",
    "    \n",
    "    peak_count <- vapply(peak_idx_by_gene, length, integer(1)) \n",
    "    gene_names <- names(peak_idx_by_gene) \n",
    "    \n",
    "    cell_sums <- Matrix::colSums(atac_counts) \n",
    "    cell_sums[cell_sums == 0] <- 1 \n",
    "    scale_diag <- Matrix::Diagonal(x = 1e6 / cell_sums) \n",
    "    atac_cpm <- atac_counts %*% scale_diag \n",
    "    \n",
    "    dorc_mat <- matrix(0, nrow = ncol(atac_cpm), ncol = length(gene_names)) \n",
    "    rownames(dorc_mat) <- colnames(atac_counts) \n",
    "    colnames(dorc_mat) <- gene_names \n",
    "    \n",
    "    for (i in seq_along(gene_names)) { \n",
    "      idx <- peak_idx_by_gene[[i]] \n",
    "      if (length(idx) == 1) { \n",
    "        dorc_mat[, i] <- as.numeric(atac_cpm[idx, ]) \n",
    "      } else { \n",
    "        dorc_mat[, i] <- as.numeric(Matrix::colSums(atac_cpm[idx, , drop = FALSE])) \n",
    "      } \n",
    "    } \n",
    "    \n",
    "    peak_sum_df <- data.frame( \n",
    "      peak_count = peak_count, \n",
    "      row.names = gene_names \n",
    "    ) \n",
    "    peak_sum_sorted <- peak_sum_df[order(peak_sum_df$peak_count, decreasing = TRUE), , drop = FALSE] \n",
    "    \n",
    "    output_dorc_peaks <- file.path(outdir, paste0(\"DORC_peaks_thresh\", dorc_peak_thresh, \"_sum_sorted.tsv\")) \n",
    "    write.table(peak_sum_sorted, output_dorc_peaks, sep = \"\\t\", row.names = TRUE, col.names = FALSE, quote = FALSE) \n",
    "    \n",
    "    output_dorc <- file.path(outdir, paste0(\"DORC_scores_thresh\", dorc_peak_thresh, \".tsv\")) \n",
    "    write.table(dorc_mat, output_dorc, sep = \"\\t\", row.names = TRUE, col.names = NA, quote = FALSE) \n",
    "    \n",
    "    saveRDS(dorc_mat, file.path(outdir, paste0(\"DORC_scores_thresh\", dorc_peak_thresh, \".rds\"))) \n",
    "    \n",
    "  }))\n",
    "}))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1fc15a93-c1e8-4d7c-b54f-76f7cab6b16a",
   "metadata": {},
   "source": [
    "### 5.3 DORC 活性差异分析\n",
    "\n",
    "基于前一步构建的单细胞 DORC 活性评分矩阵，利用 Seurat 的 `FindAllMarkers` 函数执行差异活性分析。该步骤旨在寻找在各个细胞亚群中特异性表现出高调控活性的 DORC 基因，从而鉴定出维持特定细胞群稳态或驱动其分化的标志性调控枢纽。 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cb3c0c04-7767-485a-b79a-d17995944bd7",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2026-06-17T08:29:56.261476Z",
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    "invisible(capture.output({\n",
    "  suppressMessages(suppressWarnings({\n",
    "    \n",
    "    dorc_df <- as.data.frame(dorc_mat, check.names = FALSE) \n",
    "    if (!all(colnames(obj) %in% rownames(dorc_df))) { \n",
    "      stop(\"DORC下游分析失败：dorc_mat 与 Seurat 对象细胞不一致\") \n",
    "    } \n",
    "    dorc_df <- dorc_df[colnames(obj), , drop = FALSE] \n",
    "    \n",
    "    dorc_meta <- dorc_df \n",
    "    colnames(dorc_meta) <- paste0(colnames(dorc_meta), \"_dorc\") \n",
    "    existing_dorc_meta <- intersect(colnames(obj@meta.data), colnames(dorc_meta)) \n",
    "    if (length(existing_dorc_meta) > 0) { \n",
    "      obj@meta.data <- obj@meta.data[, setdiff(colnames(obj@meta.data), existing_dorc_meta), drop = FALSE] \n",
    "    } \n",
    "    obj@meta.data <- cbind(obj@meta.data, dorc_meta[rownames(obj@meta.data), , drop = FALSE]) \n",
    "    \n",
    "    dorc_assay_mat <- t(as.matrix(dorc_df)) \n",
    "    if (!inherits(dorc_assay_mat, \"dgCMatrix\")) { \n",
    "      dorc_assay_mat <- as(dorc_assay_mat, \"dgCMatrix\") \n",
    "    } \n",
    "    obj[[\"DORC\"]] <- CreateAssayObject(counts = dorc_assay_mat) \n",
    "    \n",
    "    if (!(clusters_col %in% colnames(obj@meta.data))) { \n",
    "      stop(\"DORC下游分析失败：meta.data中不存在细胞类型列 \", clusters_col) \n",
    "    } \n",
    "    Idents(obj) <- as.factor(as.character(obj@meta.data[[clusters_col]])) \n",
    "    DefaultAssay(obj) <- \"DORC\" \n",
    "    \n",
    "    # 这里是产生红色刷屏的地方，现在被外层的 suppressMessages 吃掉了\n",
    "    markers_dorc <- FindAllMarkers( \n",
    "      object = obj, \n",
    "      assay = \"DORC\", \n",
    "      only.pos = TRUE, \n",
    "      logfc.threshold = 0, \n",
    "      min.pct = 0.05 \n",
    "    ) \n",
    "    \n",
    "    if (!\"gene\" %in% colnames(markers_dorc)) { \n",
    "      markers_dorc$gene <- rownames(markers_dorc) \n",
    "    } \n",
    "    output_dorc_markers <- file.path(outdir, \"DORC_FindAllMarkers.tsv\") \n",
    "    write.table(markers_dorc, output_dorc_markers, sep = \"\\t\", row.names = FALSE, col.names = TRUE, quote = FALSE)     \n",
    "    markers_sig <- markers_dorc[!is.na(markers_dorc$p_val_adj) & markers_dorc$p_val_adj < 0.05 & markers_dorc$avg_log2FC > 0, , drop = FALSE] \n",
    "    if (nrow(markers_sig) == 0) { \n",
    "      stop(\"DORC下游分析失败：没有显著差异DORC（p_val_adj < 0.05）\") \n",
    "    } \n",
    "    \n",
    "    # 提取每个 cluster 中 avg_log2FC 最高的 top 10 基因 \n",
    "    markers_top10 <- markers_sig %>% \n",
    "      group_by(cluster) %>% \n",
    "      slice_max(n = 10, order_by = avg_log2FC, with_ties = FALSE) %>% \n",
    "      ungroup() \n",
    "    \n",
    "    output_top10 <- file.path(outdir, \"DORC_top10_per_cluster_markers.tsv\") \n",
    "    write.table(markers_top10, output_top10, sep = \"\\t\", row.names = FALSE, col.names = TRUE, quote = FALSE) \n",
    "\n",
    "  }))\n",
    "}))"
   ]
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    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 7</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>p_val</th><th scope=col>avg_log2FC</th><th scope=col>pct.1</th><th scope=col>pct.2</th><th scope=col>p_val_adj</th><th scope=col>cluster</th><th scope=col>gene</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>DTX1</th><td>2.397218e-189</td><td>2.463573</td><td>0.924</td><td>0.462</td><td>4.569098e-186</td><td>B cells</td><td>DTX1  </td></tr>\n",
       "\t<tr><th scope=row>RASAL1</th><td>1.771071e-171</td><td>2.109955</td><td>0.942</td><td>0.588</td><td>3.375661e-168</td><td>B cells</td><td>RASAL1</td></tr>\n",
       "\t<tr><th scope=row>CFAP73</th><td>2.060654e-165</td><td>2.016315</td><td>0.944</td><td>0.598</td><td>3.927607e-162</td><td>B cells</td><td>CFAP73</td></tr>\n",
       "\t<tr><th scope=row>IGLC1</th><td>2.272933e-163</td><td>1.590690</td><td>0.994</td><td>0.796</td><td>4.332209e-160</td><td>B cells</td><td>IGLC1 </td></tr>\n",
       "\t<tr><th scope=row>TCL6</th><td>8.499601e-160</td><td>1.902479</td><td>0.944</td><td>0.530</td><td>1.620024e-156</td><td>B cells</td><td>TCL6  </td></tr>\n",
       "\t<tr><th scope=row>SLC8B1</th><td>5.623266e-158</td><td>1.932736</td><td>0.942</td><td>0.637</td><td>1.071795e-154</td><td>B cells</td><td>SLC8B1</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 7\n",
       "\\begin{tabular}{r|lllllll}\n",
       "  & p\\_val & avg\\_log2FC & pct.1 & pct.2 & p\\_val\\_adj & cluster & gene\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <fct> & <chr>\\\\\n",
       "\\hline\n",
       "\tDTX1 & 2.397218e-189 & 2.463573 & 0.924 & 0.462 & 4.569098e-186 & B cells & DTX1  \\\\\n",
       "\tRASAL1 & 1.771071e-171 & 2.109955 & 0.942 & 0.588 & 3.375661e-168 & B cells & RASAL1\\\\\n",
       "\tCFAP73 & 2.060654e-165 & 2.016315 & 0.944 & 0.598 & 3.927607e-162 & B cells & CFAP73\\\\\n",
       "\tIGLC1 & 2.272933e-163 & 1.590690 & 0.994 & 0.796 & 4.332209e-160 & B cells & IGLC1 \\\\\n",
       "\tTCL6 & 8.499601e-160 & 1.902479 & 0.944 & 0.530 & 1.620024e-156 & B cells & TCL6  \\\\\n",
       "\tSLC8B1 & 5.623266e-158 & 1.932736 & 0.942 & 0.637 & 1.071795e-154 & B cells & SLC8B1\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 7\n",
       "\n",
       "| <!--/--> | p_val &lt;dbl&gt; | avg_log2FC &lt;dbl&gt; | pct.1 &lt;dbl&gt; | pct.2 &lt;dbl&gt; | p_val_adj &lt;dbl&gt; | cluster &lt;fct&gt; | gene &lt;chr&gt; |\n",
       "|---|---|---|---|---|---|---|---|\n",
       "| DTX1 | 2.397218e-189 | 2.463573 | 0.924 | 0.462 | 4.569098e-186 | B cells | DTX1   |\n",
       "| RASAL1 | 1.771071e-171 | 2.109955 | 0.942 | 0.588 | 3.375661e-168 | B cells | RASAL1 |\n",
       "| CFAP73 | 2.060654e-165 | 2.016315 | 0.944 | 0.598 | 3.927607e-162 | B cells | CFAP73 |\n",
       "| IGLC1 | 2.272933e-163 | 1.590690 | 0.994 | 0.796 | 4.332209e-160 | B cells | IGLC1  |\n",
       "| TCL6 | 8.499601e-160 | 1.902479 | 0.944 | 0.530 | 1.620024e-156 | B cells | TCL6   |\n",
       "| SLC8B1 | 5.623266e-158 | 1.932736 | 0.942 | 0.637 | 1.071795e-154 | B cells | SLC8B1 |\n",
       "\n"
      ],
      "text/plain": [
       "       p_val         avg_log2FC pct.1 pct.2 p_val_adj     cluster gene  \n",
       "DTX1   2.397218e-189 2.463573   0.924 0.462 4.569098e-186 B cells DTX1  \n",
       "RASAL1 1.771071e-171 2.109955   0.942 0.588 3.375661e-168 B cells RASAL1\n",
       "CFAP73 2.060654e-165 2.016315   0.944 0.598 3.927607e-162 B cells CFAP73\n",
       "IGLC1  2.272933e-163 1.590690   0.994 0.796 4.332209e-160 B cells IGLC1 \n",
       "TCL6   8.499601e-160 1.902479   0.944 0.530 1.620024e-156 B cells TCL6  \n",
       "SLC8B1 5.623266e-158 1.932736   0.942 0.637 1.071795e-154 B cells SLC8B1"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(markers_sig)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2297d59a-dc0d-4117-ac12-d2bbe07d2ddb",
   "metadata": {},
   "source": [
    "> 💡 **解读指南：DORC (Domains of Regulatory Chromatin) 差异分析结果表**\n",
    "> \n",
    "> 该表展示了通过 Seurat `FindAllMarkers` 鉴定出的在各个细胞亚群中具有特异性高调控活性的 DORC 基因。DORC 得分反映了基因附近多个开放染色质区域信号的累加综合效应，是强增强子调控基因的重要标志。建议联合 `p_val_adj` 和 `avg_log2FC` 进行优先级排序。\n",
    "> \n",
    "> - **gene**：DORC 基因的名称，即那些受多个顺式调控元件强力驱动的靶基因。\n",
    "> - **cluster**：该 DORC 基因表现出显著高调控活性的目标细胞亚群名称或编号。\n",
    "> - **p_val**：差异分析的原始显著性 P 值。\n",
    "> - **avg_log2FC**：平均 Log2 差异倍数。正值表示该 DORC 基因在当前 cluster 中的综合调控活性高于其他细胞群。数值越大，代表该组的特异性调控强度越高。\n",
    "> - **pct.1**：该基因作为 DORC 在当前 cluster 中的检出（激活）比例，范围在 0~1 之间。\n",
    "> - **pct.2**：该基因作为 DORC 在其他所有细胞亚群背景中的检出（激活）比例，范围在 0~1 之间。\n",
    "> - **p_val_adj**：经多重检验校正后的 P 值，是判断该基因是否为该亚群显著 DORC Marker 的金标准。"
   ]
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  {
   "cell_type": "markdown",
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   "source": [
    "### 5.4 DORC 活性 UMAP 空间可视化\n",
    "\n",
    "基于前面提取的各个细胞亚群的特异性 Top 10 DORC 基因，通过 `FeaturePlot` 在 UMAP 降维空间中直观呈现其单细胞水平的活性分布。由于 DORC 评分差异可能极大，这里预先进行了 log10 转换和分位数截断以平滑极值。\n"
   ]
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   "source": [
    "DefaultAssay(obj) <- \"DORC\"\n",
    "\n",
    "# 你要展示的DORC列表（例如 top10）\n",
    "features_to_show <- markers_top10$gene\n",
    "features_to_show <- unique(features_to_show)\n",
    "features_to_show <- features_to_show[features_to_show %in% rownames(obj[[\"DORC\"]])]\n",
    "\n",
    "plot_output_dir <- file.path(outdir, \"DORC_FeaturePlot_5in1\")\n",
    "dir.create(plot_output_dir, recursive = TRUE, showWarnings = FALSE)\n",
    "\n",
    "plot_dorc_feature <- function(gene, obj) {\n",
    "  # 提取原始数值\n",
    "  values <- as.numeric(GetAssayData(obj, assay = \"DORC\", slot = \"data\")[gene, ])\n",
    "  values <- values[is.finite(values)]\n",
    "  if (length(values) == 0) return(NULL)\n",
    "\n",
    "  # 关键修复：对极大的 DORC 得分进行 log10(x+1) 缩放平滑\n",
    "  scaled_values <- log10(values + 1)\n",
    "  \n",
    "  # 将平滑后的数值临时放回 Seurat 对象的 meta.data 中用于画图\n",
    "  plot_col_name <- paste0(\"Log10_\", gsub(\"-\", \"_\", gene))\n",
    "  obj@meta.data[[plot_col_name]] <- scaled_values\n",
    "\n",
    "  p1 <- as.numeric(quantile(scaled_values, 0.01, na.rm = TRUE))\n",
    "  p99 <- as.numeric(quantile(scaled_values, 0.99, na.rm = TRUE))\n",
    "\n",
    "  # 定义经典的蓝-黄-红渐变色带\n",
    "  custom_colors <- c(\"#313695\", \"#4575b4\", \"#74add1\", \"#abd9e9\", \"#e0f3f8\", \n",
    "                     \"#ffffbf\", \"#fee090\", \"#fdae61\", \"#f46d43\", \"#d73027\", \"#a50026\")\n",
    "\n",
    "  FeaturePlot(\n",
    "    object = obj,\n",
    "    features = plot_col_name,  # 使用新生成的 Log10 列画图\n",
    "    reduction = \"umap\",\n",
    "    min.cutoff = p1,\n",
    "    max.cutoff = p99,\n",
    "    pt.size = 0.3\n",
    "  ) +\n",
    "    ggplot2::scale_color_gradientn(\n",
    "      colors = custom_colors,\n",
    "      name = \"log10(DORC+1)\" # 修改图例名称让其更专业\n",
    "    ) +\n",
    "    ggplot2::ggtitle(gene) +\n",
    "    ggplot2::theme(plot.title = ggplot2::element_text(size = 10, hjust = 0.5))\n",
    "}\n",
    "\n",
    "save_and_encode_plot <- function(plot, filename_base, width = 26, height = 3.8) {\n",
    "  full_path_pdf <- paste0(filename_base, \".pdf\")\n",
    "  full_path_png <- paste0(filename_base, \".png\") # 直接生成同名PNG文件路径\n",
    "\n",
    "  ggplot2::ggsave(full_path_pdf, plot, width = width, height = height)\n",
    "  ggplot2::ggsave(full_path_png, plot, width = width, height = height, dpi = 100)\n",
    "\n",
    "  # 检查PNG是否生成成功，直接返回文件路径而不是转码Base64\n",
    "  if (file.exists(full_path_png)) {\n",
    "    return(list(png_path = full_path_png, pdf_path = full_path_pdf))\n",
    "  }\n",
    "  NULL\n",
    "}\n"
   ]
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    "suppressMessages(suppressWarnings({\n",
    "# 每5个基因分组\n",
    "feature_groups <- split(\n",
    "  features_to_show,\n",
    "  ceiling(seq_along(features_to_show) / 5)\n",
    ")\n",
    "\n",
    "plot_list <- list()\n",
    "\n",
    "for (i in seq_along(feature_groups)) {\n",
    "  genes <- feature_groups[[i]]\n",
    "\n",
    "  p_list <- lapply(genes, function(g) plot_dorc_feature(g, obj))\n",
    "  p_list <- p_list[!vapply(p_list, is.null, logical(1))]\n",
    "  if (length(p_list) == 0) next\n",
    "\n",
    "  # 补齐到5格，保持固定1行5列\n",
    "  if (length(p_list) < 5) {\n",
    "    p_list <- c(p_list, replicate(5 - length(p_list), patchwork::plot_spacer(), simplify = FALSE))\n",
    "  }\n",
    "\n",
    "  combined_plot <- patchwork::wrap_plots(p_list, ncol = 5) +\n",
    "    patchwork::plot_annotation(title = paste0(\"DORC FeaturePlot Group \", i))\n",
    "\n",
    "  file_base <- file.path(plot_output_dir, paste0(\"DORC_group_\", sprintf(\"%03d\", i)))\n",
    "  res <- save_and_encode_plot(combined_plot, file_base, width = 26, height = 3.8)\n",
    "}\n",
    "\n",
    "}))"
   ]
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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 300,
       "width": 1200
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "options(repr.plot.width = 23, repr.plot.height = 4)\n",
    "combined_plot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94b036ce-301c-4a2a-bbae-abe5194f536c",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "> 💡 **解读指南：差异 DORC 基因 UMAP 特征映射图 (FeaturePlot)**\n",
    "> \n",
    "> 该图示例展示各个核心驱动基因（DORC 基因）在不同单细胞群体中的空间分布与相对调控活性。**其他全部活性差异的DORC放在.result/DORC_FeaturePlot_5in1目录下。**\n",
    "> \n",
    "> - **散点（细胞）**：图中的每一个散点代表一个单细胞，其在二维空间中的相对位置反映了细胞群体之间的整体转录组或染色质状态相似性。\n",
    "> - **颜色梯度（活性得分）**：颜色反映了特定 DORC 基因在该细胞中累积可及性评分的对数平滑值（`log10(DORC+1)`）。\n",
    ">   - **深蓝色**：代表未激活或极低活性。\n",
    ">   - **黄绿色**：代表中等过渡态。\n",
    ">   - **橙色至深红色**：代表该基因关联的多个增强子元件在该细胞中高度开放，调控活性极强。\n",
    "> - **数值平滑与截断**：由于原始的 DORC 峰计数往往存在极端高值，分析中预先对其进行了 Log10 对数转换以平滑极值差异；同时，颜色映射的上下限采用了平滑后数据的 1% 和 99% 分位数进行截断，以确保微小的生物学变异模式得以清晰展现。\n",
    "> - **组别展示**：图片下方的数据表以每组 5 个基因的格式进行分页展示。点击缩略图即可在新标签页中查看高分辨率的 PDF 矢量图。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8c6c76d-efc8-4dc8-9e1c-78be97002db5",
   "metadata": {},
   "source": [
    "### 5.5 DORC 细胞群水平活性热图 (Pseudobulk Heatmap)\n",
    "\n",
    "为了从全局视角展示各个细胞亚群的核心 DORC 基因活性模式，我们将单细胞级别的 DORC 矩阵按细胞亚群进行汇总拟合（Pseudobulk），并计算平均活性。然后提取每个亚群的 Top 10 特异性 DORC 基因，进行 Z-score 标准化后绘制层次聚类热图。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b1c1f41f-a326-4d9e-b9df-04e2faf285ac",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2026-06-17T08:31:00.091276Z",
     "iopub.status.busy": "2026-06-17T08:31:00.090294Z",
     "iopub.status.idle": "2026-06-17T08:32:00.167215Z",
     "shell.execute_reply": "2026-06-17T08:32:00.165867Z"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "remove-input"
    ],
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "# ---- Code cell 61 ----\n",
    "markers_top10_by_cluster <- markers_sig %>%\n",
    "  group_by(cluster) %>%\n",
    "  arrange(desc(avg_log2FC), .by_group = TRUE) %>%\n",
    "  slice_head(n = 10) %>%\n",
    "  ungroup()\n",
    "\n",
    "output_top10_by_cluster <- file.path(outdir, \"DORC_top10_by_cluster.tsv\")\n",
    "write.table(markers_top10_by_cluster, output_top10_by_cluster, sep = \"\\t\", row.names = FALSE, col.names = TRUE, quote = FALSE)\n",
    "\n",
    "selected_dorc_genes <- unique(markers_top10_by_cluster$gene)\n",
    "selected_dorc_genes <- selected_dorc_genes[selected_dorc_genes %in% rownames(obj[[\"DORC\"]])]\n",
    "if (length(selected_dorc_genes) == 0) {\n",
    "  stop(\"DORC下游分析失败：用于拟bulk绘图的DORC基因为空\")\n",
    "}\n",
    "\n",
    "dorc_selected_cells_by_gene <- t(as.matrix(GetAssayData(obj, assay = \"DORC\", slot = \"data\")[selected_dorc_genes, , drop = FALSE]))\n",
    "cell_groups <- as.character(obj@meta.data[[clusters_col]])\n",
    "names(cell_groups) <- rownames(obj@meta.data)\n",
    "cell_groups <- cell_groups[rownames(dorc_selected_cells_by_gene)]\n",
    "valid_cells <- !is.na(cell_groups) & cell_groups != \"\"\n",
    "dorc_selected_cells_by_gene <- dorc_selected_cells_by_gene[valid_cells, , drop = FALSE]\n",
    "cell_groups <- cell_groups[valid_cells]\n",
    "\n",
    "dorc_pb_sum <- rowsum(dorc_selected_cells_by_gene, group = cell_groups, reorder = FALSE)\n",
    "dorc_pb_n <- as.numeric(table(cell_groups)[rownames(dorc_pb_sum)])\n",
    "dorc_pb_mean <- dorc_pb_sum / dorc_pb_n\n",
    "dorc_pb_gene_by_celltype <- t(dorc_pb_mean)\n",
    "\n",
    "output_pb <- file.path(outdir, \"DORC_pseudobulk_top10ByCluster.tsv\")\n",
    "write.table(dorc_pb_gene_by_celltype, output_pb, sep = \"\\t\", row.names = TRUE, col.names = NA, quote = FALSE)\n",
    "\n",
    "dorc_pb_scaled <- t(scale(t(dorc_pb_gene_by_celltype)))\n",
    "dorc_pb_scaled[is.na(dorc_pb_scaled)] <- 0\n",
    "\n",
    "\n",
    "\n",
    "# 仅用于行注释：根据细胞类型数量动态决定每个 cluster 标注的特异性基因个数\n",
    "n_celltypes <- ncol(dorc_pb_scaled)\n",
    "labels_per_cluster <- if (n_celltypes <= 5) {\n",
    "  5L\n",
    "} else if (n_celltypes < 8) {\n",
    "  4L\n",
    "} else if (n_celltypes <= 10) {\n",
    "  3L\n",
    "} else if (n_celltypes <= 15) {\n",
    "  2L\n",
    "} else {\n",
    "  1L\n",
    "}\n",
    "\n",
    "markers_ranked_by_cluster <- markers_top10_by_cluster %>%\n",
    "  group_by(cluster) %>%\n",
    "  arrange(desc(avg_log2FC), .by_group = TRUE) %>%\n",
    "  ungroup() %>%\n",
    "  filter(gene %in% rownames(dorc_pb_scaled))\n",
    "\n",
    "clusters <- unique(as.character(markers_ranked_by_cluster$cluster))\n",
    "used_genes <- character()\n",
    "anno_labels <- character()\n",
    "for (cl in clusters) {\n",
    "  genes <- as.character(markers_ranked_by_cluster$gene[markers_ranked_by_cluster$cluster == cl])\n",
    "  genes <- genes[!is.na(genes) & genes != \"\"]\n",
    "  genes <- genes[genes %in% rownames(dorc_pb_scaled)]\n",
    "  preferred <- genes[!genes %in% used_genes]\n",
    "  picked <- head(preferred, labels_per_cluster)\n",
    "  if (length(picked) < labels_per_cluster) {\n",
    "    picked <- c(picked, head(setdiff(genes, picked), labels_per_cluster - length(picked)))\n",
    "  }\n",
    "  used_genes <- c(used_genes, picked)\n",
    "  anno_labels <- c(anno_labels, picked)\n",
    "}\n",
    "\n",
    "row_hc <- stats::hclust(stats::dist(dorc_pb_scaled))\n",
    "anno_df <- data.frame(\n",
    "  label = anno_labels,\n",
    "  row_index = match(anno_labels, rownames(dorc_pb_scaled)),\n",
    "  stringsAsFactors = FALSE\n",
    ")\n",
    "# anno_mark() 的 at 需要原始矩阵的行索引，不能传聚类后的显示位置，\n",
    "# 否则在 cluster_rows 生效后会发生二次错位。\n",
    "anno_df <- anno_df[!is.na(anno_df$row_index), , drop = FALSE]\n",
    "anno_df <- anno_df[!duplicated(anno_df$row_index), , drop = FALSE]\n",
    "anno_at <- anno_df$row_index\n",
    "anno_labels <- anno_df$label\n",
    "\n",
    "row_anno <- NULL\n",
    "anno_width_cm <- 0\n",
    "if (length(anno_at) > 0) {\n",
    "  anno_width_cm <- max(4.5, min(8, max(nchar(anno_labels)) * 0.25))\n",
    "  row_anno <- ComplexHeatmap::rowAnnotation(\n",
    "    mark = ComplexHeatmap::anno_mark(\n",
    "      at = anno_at,\n",
    "      labels = anno_labels,\n",
    "      which = \"row\",\n",
    "      side = \"right\",\n",
    "      labels_gp = grid::gpar(fontsize = 12),\n",
    "      lines_gp = grid::gpar(col = \"grey50\", lwd = 0.8)\n",
    "    ),\n",
    "    width = grid::unit(anno_width_cm, \"cm\")\n",
    "  )\n",
    "}\n",
    "\n",
    "output_pb_pdf <- file.path(outdir, \"DORC_pseudobulk_top10ByCluster_heatmap.pdf\")\n",
    "pdf(output_pb_pdf, width = 12, height = 9)\n",
    "ht <- ComplexHeatmap::Heatmap(\n",
    "  dorc_pb_scaled,\n",
    "  name = \"DORC Z-score\",\n",
    "  col = circlize::colorRamp2(c(-2, 0, 2), c(\"#2166AC\", \"white\", \"#B2182B\")),\n",
    "  cluster_rows = row_hc,\n",
    "  cluster_columns = TRUE,\n",
    "  show_row_names = FALSE,\n",
    "  show_row_dend = FALSE,\n",
    "  show_column_dend = FALSE,  # 不显示列聚类树\n",
    "  show_column_names = TRUE,\n",
    "  right_annotation = row_anno,\n",
    "  column_names_gp = grid::gpar(fontsize = 12)\n",
    ")\n",
    "draw(ht)\n",
    "invisible(dev.off())\n",
    "\n",
    "saveRDS(obj, file.path(outdir, \"output_with_dorc_downstream.rds\"))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "25f92fd6",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2026-06-17T08:32:00.169995Z",
     "iopub.status.busy": "2026-06-17T08:32:00.169071Z",
     "iopub.status.idle": "2026-06-17T08:32:02.382651Z",
     "shell.execute_reply": "2026-06-17T08:32:02.381503Z"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [],
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
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hBtYF6vUcN3VM83xmSYaO9BvpUcf7hUjGNmseL22aaNCpP+rX9AlK6so8P5+58XsxEZEXp5b6Lt26c6ffwYvPwkVESk68fXJoziTvB3wLKIwCAAAAAACkmK1rJTcnQ5HYiJePbly7+fzGzv+1r3Q54vTWrjnfjXh9/LfGDUbufaYWMbBwLuiaPaNB8IOrl+9f2zPHc++atRM2rx9Wxio1tz41d+BYnyBRjK2ccufIZm/48vbVm88ub57c4tDxmYd3fZ8/8dLR0HXeK16IhYVFSNA6n9Uvm3awSXJii9xlS2ZLsATU+cNy0TOzvx/iEySimGV2zvTs4XMOL8O3jj1GAQAAAACAjgsMDHwU37179548efI1c5Yfus3f39/ff/+Rczee3Ds2qZadyMttI/448G4HjkeLO9YfsfeZOkPhLnMOPnzx4N+Thw8fv3Dv+ZPj83sVs1AH7B1ev+Oih6m6tUPZLmPmbb3wLDTo8c3zx4+euf74/olZTbIq8tJ/yKjVbxJf8Hy598ZgKfCD709FJHyH9+IHyUzs2me5f0JLerq8681Uqt3gKYt2nn8c+GhBMzYJgg5gxSgAAAAAANBlISEhXl5eanUSWwbXqFGjQoUKBgZfu27M0L7MkFk/LXMZevbJkSO3pXJuCdv+y48bAsQg9/cbD8ysbv1xqHGm0p3n7M+TobTHn1c3DPplWzOfuhmSnzhpJXr8WSJeg4FdyT6L/+dv13Jl6PHj/0qr0vHH3/nHZ3ekQYUe3Vq0dKg4znO/z4LrniPzpvhdFus9s9i7/7yQ4ouB/yAKowAAAAAAQJdZWFh4enqGh4fHbYyMjDx//vzevXsvXrxYr1697Nmzf+1tnJycRERCQ0NFJHyD95IAEetWf0yOWxV9z7Lyb1M7LK6/IGDx3HVedduluDKalAy5cjmK3DUzS7R/6CVfnyNq09o9OuYQuw496w05tMnX5+SI30tx8if0HYVRAAAAAACg42xtbRM35syZs6NXn64AACAASURBVGLFitu3b/f19c2XL993332XMWPGVN/i6caNx0TEIGfObCJyfP/+cBFVvRb1zZMerqrTor7lgvnB+/cfk3Yeqb7rRzFn1m+6K5KrQYNC8TtiD3svuCRWrXu0tBORjC16thy4aeFCnz2/lqqeqCoUfPOov/+deDmzlyyX2zIN8gH/QRRGAQAAAACAnrKzs2vXrt3ly5d37Ngxa9as8uXL58uXL+4AlUqVZFFVRF5cOeDvbyaijnj1+Nrh5dNnbnopYlGvbQNrkcgHDwJEJE+BAibJ3dqwQIG8IqcDHzwIE0n6JPkUCD02ussflyRLu2lDy8ZfCBq53XvRfXHo06Ph23WpZnV7ts+20GuZ95ap1RslXKp6bU4bjznxWnL8fOLO76W+Nh7w3/SpwmjQrbvplgPpLCzgpbYjQIMKFi/9+UH4Zlk/iNB2BGhKQGCYtiNAg+ybttZ2BGhQ5guB2o4ATYmKjtV2BGhQ8JtIbUfAf0KBAgVcXFz27Nnz9rShuF2KogwaNMjCIomjho5OqucxKV6LeaGeS+Z2zCQi757bNzU1Tf6uKpVK3g/9usJo+L+zmjaYcM64xOg1fze0i98XssFn5XPJM6S7h/G7FsMKPbsW9hq7zmd1YKOOCWq+iU+ld2K5KHQYK0YBAAAAAIC+MzY2rl27dunSpRNsRapSqZKsioqIrWslNydDEcVIZWHr7FqqWtP2zStkeVsJtbSxMRKJfvbsmUiuZG759OlTETGwtc0oIqIoiogkeUKUSGxs7IchCYWcmtqwzuC94SWHbfUbUy7hg/vPlnlvCpWs5Vxe74tT8c1TLrdc3Oq9+FHH/lniDXfts9x/cM5kAgM6h8IoAAAAAACASDJbkSan/NBtmzsnXTMVpUiRwrLy7IMDB+5I2ZxJDnl04MBNEXErWtRARORt+TX21atgkURrNF+9eiUiVlZWCTte+I+o2+i3E0q5MTu2ja6Q+JSnewu9d0WJPFjS02NJos4DPguv9R+WL1E7oDcojAIAAAAAAKStPA0aFBh59vKx2VMP9vWqlPhJ+YgTU//aLyL5G9R3ERER8zx5HEWenj11KqZHVcP4g1+eOnVLRHLnjrf4NPb++j612sy9ksF98s7NP5VMqkR70cf3eKzYulZ2czJI0PX88v5/z/v6nhzK4fTQYwl/LgAAAAAAAPCVivQb/p2VyK2Z7TouuJ7gmICoO8u6tp52TcTquxGexd41lq5d21bk2bJJPnfi720cdnzytN0xIgVr1cz6oTHyim+ris3nXs1Y+y//bUlXRSX2oPeCKyJFf1i/3z+RHSPLG8iNhd77otP0bQPfFFaMAgAAAAAApDWH9t7zd5Zpueje6i7FTi/r0qNlVbdsGQ1CHl7cv8bbZ/O1EDHM1mGBT3uH9+NN6wz5uczKn49v71O20vF+XWuXzGFjFPbs2uG1c2at+TdGMrUc3bfgu6Exl2Z+595v13Njl05jfyz04lj886IyFXQv7KCIROz0XnxPpHjbNvmTiOfcsk3lHw7vW+az5X9VEx1On5znl/dffBorInLuUbSIBN866u9/R0QkQ87SZXIm3OAU+K+jMAoAAAAAAJD2nJouOLIpa/seU/1v7Zw5bOfMOF0mWdx/nLdkQj3HOG1KoZ/WrnzQqL3XqSM+vxzxidNjmLn2b2vntfxQQw07vGnXcxGJurGwd+2FCW/baFnU+tZG8nqd96oXopRt2yZPkukcW7TxGLhv1xrvVV6NOiXenTRJByfUarIkzvLXa/PaeMwTERHX0ReujCn8ZbMA/xkURgEAAAAAAL6c4ljY3f2VuDkZfm6kgXPd3/be6H1g3erNe09ee/g8VG1u55y3VNX6zZtWyZF441HFucGM47e7b1yycseRf+8+D4kxzeiUp1iVBm3bVM8dd1GnYeYi7u7hyd20sIMiIhHH/31d2t09X4/W2ZIZ59i8T+/lURfDLh8PlVrmNq6V3N1DXLOpPvV+MhWo4u4emVRPdpaL4lukqNXq5PpOtG6RnlGQnsICXmo7AjSo0vq12o4ADTr7IOLzg/BtCggM03YEaFCt4pm0HQEatOdCoLYjQFOiomM/PwjfrOA3SZZ4oDta1HTRdgQA/12fWjFqYPjZX33gm5VsPRy6QLGw1HYEaFAG0xhtR4CmmJrwyavLYl5RONNlkVH84ayzwiL45uoyRTiOGwD0F6fSAwAAAAAAANA77DEKAAAAAADw5dRPL+67/Fzs8ldOtM1o8M2jp+6Hi2KVp1yJbKbx+6KDHty89yQwRG1pn9nJydHOwjjOiuWXVw+eexwtYuJcvELejPEvjH16cf/l5waOhasUeLczT8SDM0duBBk6uVXOb5cg24srhy48iRYDuwIV3Rzfp4sJeXjt6v2X0Wb2ufLmdfjSM+gBnceKUQAAAAAAgC8X4zfSw8PDY9j2+BvEq5/t+NG9aHmPaq0mnFFsPlZF1S/PLh3ZomwOG9ts+YuUrlChjFvebPaWGewL1eo22ud4wNtBp/6o7+Hh4eFRsfrIfQmPVYr0G+nh4VFrwsEPLQGrPT08POr+fiRBsDurupQrWtmjZqfZt01tDEVEoh/u/LVlMQebrAVLla9Yrlg+J/uc1Qcsv/Im7b4awDeMFaMAAAAAAABfJ/ruim41O/xzXZ2j+UK/JR3ymrxrDz3/V9sGP2y8Fy0ihlbZCro4Wxu/ef748eMnzy/5+Y47rJTvVqZO3Inu/z1kxsBjQ/KkOEH4xTmta/fd8MikQO9VO2c2zGogIk/WdSjXfPmDWDG0yJI/X1bzNw+vXb+7Z0abKlffHNnWNQ977ELfsWIUAAAAAADgK4RfmtO0Ytt/rhsV7Ln20IqPVVF5uqprXc+N96JV+VpN3nI1MPDev6eOHDp67urdZ6/fBF7x8x3XvaxD3IlcChUyjTo+cfiqlylM8ProhDpV+mx4ZFFmxPYDs99WRSV23wTP5Q9iDfN2XHrx0cPLp46dvPzg8eUV3QsaBewYOPCfgDR458C3jcIoAAAAAABAagUd+7V25T6bHlqWG7rjwN8NnD9WWsJ3je6/8pEYuvTdfHT5T/XyWcXdkNTQ2rVGl1HTepSIO5dzz4l9c8mrVSN+Oxn9xQHUz3b8ULXGyH2vHGpO89/9q/uHXUcv+fk9FDFrPXlem/yW79rM87acPaVtRgneMmfpg9S9YUB3UBgFAAAAAABIDfUzv4Ee1Uftf+lYa6r/romVbeN2hm/4e+ETEds2UyZXt/nCCU3KjxjfOKP6uteQufe+6ILouys6V2ow7UxEzhYLD24eUNwiTl9wcLCI2GXObBLvEqMsWexF1Md27wn5wlSArqIwCgAAAAAAkGLRd1Z1qlR/+pmIXC3nH9z0YzHzBP0n9u8PFzGr17xeSo6Bt207cWhxw4i940Zt+2zdMvzS7LeP8Bfqte7Q8jiP8L+VK3duEXmwZfXRuKdEhZ9etemmiKgvXbqSglyALvrU4UvZ6tZKtxxIZ6fG/aXtCNCgwLXLtR0BGhRdtLa2I0BTqhSw0nYEaNDOcyndLAzfklchkdqOAE15Exal7QjQoAK5vnQdH/RBeHj49evX7ezs4jaqVCpbW9skx+8c102tVju3WnFwacssiReeRd6//0xEcru6GqcohpJ/wO9d/6o9b/HQqYNqjy7yiRVtoSuHfq9WG7j22bp/VtUkMjq17FJ3xMFtl6fWrfB4wPcNS2XL8Ob+ma2zpy26a24hISEvX/KXE+g7TqUHAAAAAAB6Ta1Wnzt3bufOnW/evEnQpSjKoEGDLCwsEl/l6Oz8/MGDR3t91l1q0LewWcLu8PBwERFTU9OUxjGrNXZsjSXdd00ZurjP1o4OyY4zzuJs++jB0xtb526/VbltbsNEAzJ39V16unbbmefPLhnbc8m7RsviQyZW2eQ5/XJUFL/4gb6jMAoAAAAAAPTX48ePt23bdv/+/SJFipQpU0ZRlLi9KpUqyaqoiJQc69d5f4M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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 480,
       "width": 900
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "options(repr.plot.width = 15, repr.plot.height = 8)\n",
    "draw(ht)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8fa60c48-d0f8-4212-848d-0bee29a493b9",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "> 💡 **解读指南：DORC 基因活性聚类热图**\n",
    "> \n",
    "> 该热图展示了各细胞亚群特异性核心 DORC 基因的全局活性图谱。数据已在细胞群体层面进行了拟合（Pseudobulk 平均化），并对基因活性进行了 Z-score 行标准化处理。\n",
    "> \n",
    "> - **纵轴（行）**：代表从每个细胞亚群中提取的基于 `avg_log2FC` 排序的 Top 10 最显著的差异 DORC 基因。左侧的树状图反映了这些基因在全局调控模式上的相似性聚类。\n",
    "> - **横轴（列）**：代表数据中定义的不同细胞亚群。列上的树状图反映了各细胞亚群在核心调控网络层面的亲缘关系。\n",
    "> - **颜色梯度（Z-score）**：反映了特定基因在不同细胞群中的相对调控活性。\n",
    ">   - **红色**：表示该 DORC 基因在该细胞群中的活性显著高于平均水平。\n",
    ">   - **蓝色**：表示活性显著低于平均水平。\n",
    ">   - **白色**：表示接近平均值。\n",
    "> - **核心发现**：通过观察热图上的“红色高亮色块矩阵”，可以直观地锁定驱动特定细胞类群发育或维持其生物学特性的核心转录调控枢纽。"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "shm_comm",
   "language": "R",
   "name": "shm_comm"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "4.3.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
