{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9ea0d5e6",
   "metadata": {},
   "source": [
    "---\n",
    "title: 单细胞宿主-病毒互作：基因表达丰度与病毒载量相关性研究\n",
    "author: SeekGene\n",
    "date: 2026-01-29\n",
    "tags:\n",
    "  - 3' 转录组\n",
    "  - 5' + 免疫组库\n",
    "  - ATAC + RNA 双组学\n",
    "  - FFPE 单细胞转录组\n",
    "  - Notebooks\n",
    "  - 全序列转录组\n",
    "  - 分析指南\n",
    "  - 相关性分析\n",
    "  - 空间转录组\n",
    "---\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8b0f0ca-5502-4dbb-ba85-3fedd8a5c9ba",
   "metadata": {},
   "source": [
    "# 单细胞宿主-病毒互作：基因表达丰度与病毒载量相关性研究"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc3201b7",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "#####################################\n",
    "# 选择 jupyter 脚本执行环境为 copyKAT #\n",
    "#####################################"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8838e7fe-5903-4220-8806-9198cfa81ca7",
   "metadata": {
    "scrolled": true,
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading required package: SeuratObject\n",
      "\n",
      "Loading required package: sp\n",
      "\n",
      "‘SeuratObject’ was built with package ‘Matrix’ 1.6.4 but the current\n",
      "version is 1.7.0; it is recomended that you reinstall ‘SeuratObject’ as\n",
      "the ABI for ‘Matrix’ may have changed\n",
      "\n",
      "\n",
      "Attaching package: ‘SeuratObject’\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:base’:\n",
      "\n",
      "    intersect, t\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "library(Seurat)\n",
    "library(ggplot2)\n",
    "library(ggpubr)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b279dbd-953f-4a8f-9ca8-2e2fd77c510e",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 基因表达数据使用“ESCC 文章复现”-“大群复现”数据作为示例\n",
    "\n",
    "### 读取流程 rds 数据，相对目录为 data/，绝对目录为/home/mambauser/data/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "afe3b14a-5942-4069-ab4a-98d371b11342",
   "metadata": {
    "tags": [],
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 10</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>orig.ident</th><th scope=col>nCount_RNA</th><th scope=col>nFeature_RNA</th><th scope=col>Sample</th><th scope=col>mito</th><th scope=col>raw_Sample</th><th scope=col>Tissue</th><th scope=col>Patient</th><th scope=col>resolution.0.6_d20</th><th scope=col>mitorelatedgenes</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>AAACCTGAGATACACA-1_1</th><td>SeuratProject</td><td>2797</td><td>1425</td><td>S150T</td><td>4.2903</td><td>GSE145370_S150T</td><td>Tumor</td><td>S150</td><td>1</td><td>3.3249911</td></tr>\n",
       "\t<tr><th scope=row>AAACCTGAGCTAACTC-1_1</th><td>SeuratProject</td><td>2790</td><td>1349</td><td>S150T</td><td>1.1470</td><td>GSE145370_S150T</td><td>Tumor</td><td>S150</td><td>5</td><td>1.0035842</td></tr>\n",
       "\t<tr><th scope=row>AAACCTGAGGAGCGAG-1_1</th><td>SeuratProject</td><td>1768</td><td>1054</td><td>S150T</td><td>4.7511</td><td>GSE145370_S150T</td><td>Tumor</td><td>S150</td><td>1</td><td>4.0158371</td></tr>\n",
       "\t<tr><th scope=row>AAACCTGAGGGAAACA-1_1</th><td>SeuratProject</td><td>4455</td><td>2017</td><td>S150T</td><td>2.2896</td><td>GSE145370_S150T</td><td>Tumor</td><td>S150</td><td>8</td><td>1.8855219</td></tr>\n",
       "\t<tr><th scope=row>AAACCTGAGTCCCACG-1_1</th><td>SeuratProject</td><td>1422</td><td> 861</td><td>S150T</td><td>0.9845</td><td>GSE145370_S150T</td><td>Tumor</td><td>S150</td><td>1</td><td>0.7032349</td></tr>\n",
       "\t<tr><th scope=row>AAACCTGAGTGAACAT-1_1</th><td>SeuratProject</td><td>2522</td><td>1308</td><td>S150T</td><td>1.7843</td><td>GSE145370_S150T</td><td>Tumor</td><td>S150</td><td>4</td><td>1.5463918</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 10\n",
       "\\begin{tabular}{r|llllllllll}\n",
       "  & orig.ident & nCount\\_RNA & nFeature\\_RNA & Sample & mito & raw\\_Sample & Tissue & Patient & resolution.0.6\\_d20 & mitorelatedgenes\\\\\n",
       "  & <chr> & <dbl> & <int> & <fct> & <dbl> & <chr> & <fct> & <fct> & <fct> & <dbl>\\\\\n",
       "\\hline\n",
       "\tAAACCTGAGATACACA-1\\_1 & SeuratProject & 2797 & 1425 & S150T & 4.2903 & GSE145370\\_S150T & Tumor & S150 & 1 & 3.3249911\\\\\n",
       "\tAAACCTGAGCTAACTC-1\\_1 & SeuratProject & 2790 & 1349 & S150T & 1.1470 & GSE145370\\_S150T & Tumor & S150 & 5 & 1.0035842\\\\\n",
       "\tAAACCTGAGGAGCGAG-1\\_1 & SeuratProject & 1768 & 1054 & S150T & 4.7511 & GSE145370\\_S150T & Tumor & S150 & 1 & 4.0158371\\\\\n",
       "\tAAACCTGAGGGAAACA-1\\_1 & SeuratProject & 4455 & 2017 & S150T & 2.2896 & GSE145370\\_S150T & Tumor & S150 & 8 & 1.8855219\\\\\n",
       "\tAAACCTGAGTCCCACG-1\\_1 & SeuratProject & 1422 &  861 & S150T & 0.9845 & GSE145370\\_S150T & Tumor & S150 & 1 & 0.7032349\\\\\n",
       "\tAAACCTGAGTGAACAT-1\\_1 & SeuratProject & 2522 & 1308 & S150T & 1.7843 & GSE145370\\_S150T & Tumor & S150 & 4 & 1.5463918\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 10\n",
       "\n",
       "| <!--/--> | orig.ident &lt;chr&gt; | nCount_RNA &lt;dbl&gt; | nFeature_RNA &lt;int&gt; | Sample &lt;fct&gt; | mito &lt;dbl&gt; | raw_Sample &lt;chr&gt; | Tissue &lt;fct&gt; | Patient &lt;fct&gt; | resolution.0.6_d20 &lt;fct&gt; | mitorelatedgenes &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| AAACCTGAGATACACA-1_1 | SeuratProject | 2797 | 1425 | S150T | 4.2903 | GSE145370_S150T | Tumor | S150 | 1 | 3.3249911 |\n",
       "| AAACCTGAGCTAACTC-1_1 | SeuratProject | 2790 | 1349 | S150T | 1.1470 | GSE145370_S150T | Tumor | S150 | 5 | 1.0035842 |\n",
       "| AAACCTGAGGAGCGAG-1_1 | SeuratProject | 1768 | 1054 | S150T | 4.7511 | GSE145370_S150T | Tumor | S150 | 1 | 4.0158371 |\n",
       "| AAACCTGAGGGAAACA-1_1 | SeuratProject | 4455 | 2017 | S150T | 2.2896 | GSE145370_S150T | Tumor | S150 | 8 | 1.8855219 |\n",
       "| AAACCTGAGTCCCACG-1_1 | SeuratProject | 1422 |  861 | S150T | 0.9845 | GSE145370_S150T | Tumor | S150 | 1 | 0.7032349 |\n",
       "| AAACCTGAGTGAACAT-1_1 | SeuratProject | 2522 | 1308 | S150T | 1.7843 | GSE145370_S150T | Tumor | S150 | 4 | 1.5463918 |\n",
       "\n"
      ],
      "text/plain": [
       "                     orig.ident    nCount_RNA nFeature_RNA Sample mito  \n",
       "AAACCTGAGATACACA-1_1 SeuratProject 2797       1425         S150T  4.2903\n",
       "AAACCTGAGCTAACTC-1_1 SeuratProject 2790       1349         S150T  1.1470\n",
       "AAACCTGAGGAGCGAG-1_1 SeuratProject 1768       1054         S150T  4.7511\n",
       "AAACCTGAGGGAAACA-1_1 SeuratProject 4455       2017         S150T  2.2896\n",
       "AAACCTGAGTCCCACG-1_1 SeuratProject 1422        861         S150T  0.9845\n",
       "AAACCTGAGTGAACAT-1_1 SeuratProject 2522       1308         S150T  1.7843\n",
       "                     raw_Sample      Tissue Patient resolution.0.6_d20\n",
       "AAACCTGAGATACACA-1_1 GSE145370_S150T Tumor  S150    1                 \n",
       "AAACCTGAGCTAACTC-1_1 GSE145370_S150T Tumor  S150    5                 \n",
       "AAACCTGAGGAGCGAG-1_1 GSE145370_S150T Tumor  S150    1                 \n",
       "AAACCTGAGGGAAACA-1_1 GSE145370_S150T Tumor  S150    8                 \n",
       "AAACCTGAGTCCCACG-1_1 GSE145370_S150T Tumor  S150    1                 \n",
       "AAACCTGAGTGAACAT-1_1 GSE145370_S150T Tumor  S150    4                 \n",
       "                     mitorelatedgenes\n",
       "AAACCTGAGATACACA-1_1 3.3249911       \n",
       "AAACCTGAGCTAACTC-1_1 1.0035842       \n",
       "AAACCTGAGGAGCGAG-1_1 4.0158371       \n",
       "AAACCTGAGGGAAACA-1_1 1.8855219       \n",
       "AAACCTGAGTCCCACG-1_1 0.7032349       \n",
       "AAACCTGAGTGAACAT-1_1 1.5463918       "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 流程rds为data/流程ID/input.rds\n",
    "obj = readRDS(\"data/AY1743044870655/input.rds\")\n",
    "head(obj@meta.data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "49aab35e-d2a5-4cf1-a671-34467d864990",
   "metadata": {
    "tags": [],
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "“\u001b[1m\u001b[22mThe `slot` argument of `GetAssayData()` is deprecated as of SeuratObject 5.0.0.\n",
      "\u001b[36mℹ\u001b[39m Please use the `layer` argument instead.”\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "3 x 3 sparse Matrix of class \"dgCMatrix\"\n",
       "            AAACCTGAGATACACA-1_1 AAACCTGAGCTAACTC-1_1 AAACCTGAGGAGCGAG-1_1\n",
       "MIR1302-2HG                    .                    .                    .\n",
       "AL627309.1                     .                    .                    .\n",
       "AL627309.2                     .                    .                    ."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gene_expression_matrix = Seurat::GetAssayData(object = obj, slot = \"counts\")\n",
    "gene_expression_matrix[1:3, 1:3]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d962d17-15ee-421d-a8b7-c768112be462",
   "metadata": {},
   "source": [
    "## 此处的病毒基因表达数据使用基于负二项分布的模拟数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "aaf0bb24-2819-47df-9eb9-7d339f6c1f41",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 3 × 3</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>AAACCTGAGATACACA.1_1</th><th scope=col>AAACCTGAGCTAACTC.1_1</th><th scope=col>AAACCTGAGGAGCGAG.1_1</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>virus-gene1</th><td>0</td><td>1</td><td>0</td></tr>\n",
       "\t<tr><th scope=row>virus-gene2</th><td>0</td><td>0</td><td>0</td></tr>\n",
       "\t<tr><th scope=row>virus-gene3</th><td>0</td><td>0</td><td>0</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 3 × 3\n",
       "\\begin{tabular}{r|lll}\n",
       "  & AAACCTGAGATACACA.1\\_1 & AAACCTGAGCTAACTC.1\\_1 & AAACCTGAGGAGCGAG.1\\_1\\\\\n",
       "  & <int> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\tvirus-gene1 & 0 & 1 & 0\\\\\n",
       "\tvirus-gene2 & 0 & 0 & 0\\\\\n",
       "\tvirus-gene3 & 0 & 0 & 0\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 3 × 3\n",
       "\n",
       "| <!--/--> | AAACCTGAGATACACA.1_1 &lt;int&gt; | AAACCTGAGCTAACTC.1_1 &lt;int&gt; | AAACCTGAGGAGCGAG.1_1 &lt;int&gt; |\n",
       "|---|---|---|---|\n",
       "| virus-gene1 | 0 | 1 | 0 |\n",
       "| virus-gene2 | 0 | 0 | 0 |\n",
       "| virus-gene3 | 0 | 0 | 0 |\n",
       "\n"
      ],
      "text/plain": [
       "            AAACCTGAGATACACA.1_1 AAACCTGAGCTAACTC.1_1 AAACCTGAGGAGCGAG.1_1\n",
       "virus-gene1 0                    1                    0                   \n",
       "virus-gene2 0                    0                    0                   \n",
       "virus-gene3 0                    0                    0                   "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "virus_expression = read.delim(\"sim_virus.matrix\")\n",
    "virus_expression[1:3,1:3]\n",
    "virus_expression = Matrix::as.matrix(virus_expression)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1cdaa194-9c50-410e-aa00-e5031f0a4e34",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Normalizing layer: counts\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#构建新对象，获得标准化后的基因表达数据\n",
    "new_obj = CreateSeuratObject(counts = Matrix::rbind2(gene_expression_matrix, virus_expression))\n",
    "new_obj = NormalizeData(new_obj)\n",
    "new_obj$Sample = obj$Sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ee32940b-40f2-44a1-baf5-a359136e14c5",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "#分别获得病毒基因名和宿主基因名\n",
    "virus_gene = rownames(new_obj)[grep(\"^virus\", rownames(new_obj))]\n",
    "host_gene = setdiff(rownames(new_obj), virus_gene)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "79d53927-556f-4835-838b-21eac57663b0",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "#获得病毒基因表达数据\n",
    "virus_data=GetAssayData(new_obj,assay = \"RNA\", slot = \"data\")[virus_gene,]\n",
    "virus_data_sum = colSums(virus_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "965d3575-366c-4103-8958-cb92f2314bfe",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "#获得宿主基因表达数据\n",
    "host_data = GetAssayData(obj, slot = \"data\")[host_gene,]\n",
    "host_gene_num = colSums(host_data != 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29750531-6aee-4a67-94f0-8fae32533902",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 定义\n",
    "\n",
    "基因表达丰度：细胞表达基因数目\n",
    "\n",
    "病毒载量：标准化后的病毒基因表达值之和（参考上述文章）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6c3ffb64-e5d3-4951-8f69-693393cf8bad",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 3</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>virus_load</th><th scope=col>host_gene_num</th><th scope=col>Sample</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;fct&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>AAACCTGAGATACACA-1_1</th><td> 2.726585</td><td>1425</td><td>S150T</td></tr>\n",
       "\t<tr><th scope=row>AAACCTGAGCTAACTC-1_1</th><td> 4.249812</td><td>1349</td><td>S150T</td></tr>\n",
       "\t<tr><th scope=row>AAACCTGAGGAGCGAG-1_1</th><td> 8.147058</td><td>1054</td><td>S150T</td></tr>\n",
       "\t<tr><th scope=row>AAACCTGAGGGAAACA-1_1</th><td> 5.170728</td><td>2017</td><td>S150T</td></tr>\n",
       "\t<tr><th scope=row>AAACCTGAGTCCCACG-1_1</th><td>13.314534</td><td> 861</td><td>S150T</td></tr>\n",
       "\t<tr><th scope=row>AAACCTGAGTGAACAT-1_1</th><td> 0.000000</td><td>1308</td><td>S150T</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 3\n",
       "\\begin{tabular}{r|lll}\n",
       "  & virus\\_load & host\\_gene\\_num & Sample\\\\\n",
       "  & <dbl> & <int> & <fct>\\\\\n",
       "\\hline\n",
       "\tAAACCTGAGATACACA-1\\_1 &  2.726585 & 1425 & S150T\\\\\n",
       "\tAAACCTGAGCTAACTC-1\\_1 &  4.249812 & 1349 & S150T\\\\\n",
       "\tAAACCTGAGGAGCGAG-1\\_1 &  8.147058 & 1054 & S150T\\\\\n",
       "\tAAACCTGAGGGAAACA-1\\_1 &  5.170728 & 2017 & S150T\\\\\n",
       "\tAAACCTGAGTCCCACG-1\\_1 & 13.314534 &  861 & S150T\\\\\n",
       "\tAAACCTGAGTGAACAT-1\\_1 &  0.000000 & 1308 & S150T\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 3\n",
       "\n",
       "| <!--/--> | virus_load &lt;dbl&gt; | host_gene_num &lt;int&gt; | Sample &lt;fct&gt; |\n",
       "|---|---|---|---|\n",
       "| AAACCTGAGATACACA-1_1 |  2.726585 | 1425 | S150T |\n",
       "| AAACCTGAGCTAACTC-1_1 |  4.249812 | 1349 | S150T |\n",
       "| AAACCTGAGGAGCGAG-1_1 |  8.147058 | 1054 | S150T |\n",
       "| AAACCTGAGGGAAACA-1_1 |  5.170728 | 2017 | S150T |\n",
       "| AAACCTGAGTCCCACG-1_1 | 13.314534 |  861 | S150T |\n",
       "| AAACCTGAGTGAACAT-1_1 |  0.000000 | 1308 | S150T |\n",
       "\n"
      ],
      "text/plain": [
       "                     virus_load host_gene_num Sample\n",
       "AAACCTGAGATACACA-1_1  2.726585  1425          S150T \n",
       "AAACCTGAGCTAACTC-1_1  4.249812  1349          S150T \n",
       "AAACCTGAGGAGCGAG-1_1  8.147058  1054          S150T \n",
       "AAACCTGAGGGAAACA-1_1  5.170728  2017          S150T \n",
       "AAACCTGAGTCCCACG-1_1 13.314534   861          S150T \n",
       "AAACCTGAGTGAACAT-1_1  0.000000  1308          S150T "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_data=data.frame(virus_load = virus_data_sum,\n",
    "                     host_gene_num = host_gene_num,\n",
    "                    Sample = new_obj$Sample)\n",
    "head(plot_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6597c84-72d8-4bd1-b2f3-7a2fc81b372d",
   "metadata": {},
   "source": [
    "## 画图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4562a36a-3638-4f75-9f16-1d73faacb03b",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[1m\u001b[22m`geom_smooth()` using formula = 'y ~ x'\n",
      "Warning message:\n",
      "“\u001b[1m\u001b[22mRemoved 152 rows containing missing values or values outside the scale range\n",
      "(`geom_smooth()`).”\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p <- ggplot(plot_data, aes(x = virus_load, y = host_gene_num)) +\n",
    "  geom_point(color = \"#9C9C9C\", size = 1.5) +\n",
    "  geom_smooth(method = \"lm\", se = TRUE, color = \"Firebrick\") +  # 添加线性拟合曲线\n",
    "  facet_wrap(~Sample) + # 按照样本分开展示\n",
    "  theme_classic() +\n",
    "  theme(\n",
    "    axis.title = element_text(size = 15),  # 增大横纵轴字体\n",
    "    plot.title = element_text(hjust = 0.5, size = 18, face = \"bold\"),  # 标题居中\n",
    "  ) +\n",
    "  labs(\n",
    "    x = \"Normalized Virus Load\", # x轴标题\n",
    "    y = \"Host Detected Genes\"# y 轴标题\n",
    "  ) +\n",
    "  stat_cor(label.x = 20, label.y = 4000, # 相关值的位置\n",
    "           size = 2, # 相关值字体大小\n",
    "           color = \"brown\") + # 添加相关系数 \n",
    "    scale_x_continuous(expand = c(0,0)) + # 调整x轴范围\n",
    "    scale_y_continuous(expand = c(0,0),limits = range(plot_data$host_gene_num)) # 调整x轴范围\n",
    "p"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee1dac15-3949-42b2-919f-f2dd536a6b0f",
   "metadata": {},
   "source": [
    "## 保存图片"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "90e45956-9d14-4231-bb99-310a2d65e83c",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[1m\u001b[22m`geom_smooth()` using formula = 'y ~ x'\n",
      "Warning message:\n",
      "“\u001b[1m\u001b[22mRemoved 152 rows containing missing values or values outside the scale range\n",
      "(`geom_smooth()`).”\n"
     ]
    }
   ],
   "source": [
    "ggsave(p, file = \"correlation.png\", width = 10, height = 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70e3bf3a-d590-4c51-a6b9-4384bfe5f5ea",
   "metadata": {},
   "source": [
    "## END"
   ]
  }
 ],
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