{
"cells": [
{
"cell_type": "markdown",
"id": "c05050d6",
"metadata": {},
"source": [
"# Quick Start (Cell Bin)"
]
},
{
"cell_type": "markdown",
"id": "4bb9106e",
"metadata": {},
"source": [
"In this case, we use the `.cellbin.gef` file of mouse brain generated by Stereo-seq for downstream analysis. "
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "9b4cc1e1",
"metadata": {},
"source": [
"More information of GEF file is in the [documentation](https://www.processon.com/view/link/610cc49c7d9c087bbd1ab7ab#map). Usually, we recommend using GEF whose speed of being read is much faster than GEM."
]
},
{
"cell_type": "markdown",
"id": "a4a3539f",
"metadata": {},
"source": [
"## Reading data"
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "9906c76e",
"metadata": {},
"source": [
"Firstly, download our [example data](http://116.6.21.110:8090/share/dd965cba-7c1f-40b2-a275-0150890e005f) and import Stereopy."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "78f7e48f",
"metadata": {
"ExecuteTime": {
"end_time": "2023-02-13T06:39:36.875565Z",
"start_time": "2023-02-13T06:39:26.781599Z"
},
"execution": {
"iopub.execute_input": "2024-01-17T02:22:58.456635Z",
"iopub.status.busy": "2024-01-17T02:22:58.455865Z",
"iopub.status.idle": "2024-01-17T02:23:10.217044Z",
"shell.execute_reply": "2024-01-17T02:23:10.215957Z",
"shell.execute_reply.started": "2024-01-17T02:22:58.456556Z"
},
"tags": []
},
"outputs": [
{
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"\n",
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" }, function(Bokeh) {\n",
" Bokeh.set_log_level(\"info\");\n",
" },\n",
"function(Bokeh) {} // ensure no trailing comma for IE\n",
" ];\n",
"\n",
" function run_inline_js() {\n",
" if ((root.Bokeh !== undefined) || (force === true)) {\n",
" for (var i = 0; i < inline_js.length; i++) {\n",
" inline_js[i].call(root, root.Bokeh);\n",
" }} else if (Date.now() < root._bokeh_timeout) {\n",
" setTimeout(run_inline_js, 100);\n",
" } else if (!root._bokeh_failed_load) {\n",
" console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
" root._bokeh_failed_load = true;\n",
" }\n",
" }\n",
"\n",
" if (root._bokeh_is_loading === 0) {\n",
" console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
" run_inline_js();\n",
" } else {\n",
" load_libs(css_urls, js_urls, js_modules, function() {\n",
" console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
" run_inline_js();\n",
" });\n",
" }\n",
"}(window));"
],
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i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/0.14.4/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) >= 0) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) >= 0) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\", \"https://unpkg.com/@holoviz/panel@0.14.4/dist/panel.min.js\"];\n var js_modules = [];\n var css_urls = [\"https://cdn.holoviz.org/panel/0.14.4/dist/css/card.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/loading.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/debugger.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/dataframe.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/widgets.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/json.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/markdown.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/alerts.css\"];\n var inline_js = [ function(Bokeh) {\n inject_raw_css(\"\\n .bk.pn-loading.arc:before {\\n background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n background-size: auto calc(min(50%, 400px));\\n }\\n \");\n }, function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, js_modules, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));"
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""
]
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],
"source": [
"import stereo as st\n",
"import warnings\n",
"warnings.filterwarnings('ignore')"
]
},
{
"cell_type": "markdown",
"id": "bb866d56",
"metadata": {},
"source": [
"Get the version information of Stereopy."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "446aa502",
"metadata": {
"execution": {
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}
},
"outputs": [
{
"data": {
"text/plain": [
"'1.1.0'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"st.__version__"
]
},
{
"cell_type": "markdown",
"id": "75113920",
"metadata": {},
"source": [
"Get attributes of the GEF file"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "4c817639",
"metadata": {
"ExecuteTime": {
"end_time": "2023-02-13T06:40:23.349381Z",
"start_time": "2023-02-13T06:40:22.555714Z"
},
"execution": {
"iopub.execute_input": "2024-01-17T02:23:10.228753Z",
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}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[2024-01-17 10:23:10][Stereo][4130][MainThread][140049799059264][reader][1354][INFO]: This is GEF file which contains cell bin infomation.\n",
"[2024-01-17 10:23:10][Stereo][4130][MainThread][140049799059264][reader][1355][INFO]: bin_type: cell_bins\n",
"[2024-01-17 10:23:10][Stereo][4130][MainThread][140049799059264][reader][1361][INFO]: Number of cells: 57133\n",
"[2024-01-17 10:23:10][Stereo][4130][MainThread][140049799059264][reader][1364][INFO]: Number of gene: 24670\n",
"[2024-01-17 10:23:10][Stereo][4130][MainThread][140049799059264][reader][1367][INFO]: Resolution: 500\n",
"[2024-01-17 10:23:10][Stereo][4130][MainThread][140049799059264][reader][1370][INFO]: offsetX: 0\n",
"[2024-01-17 10:23:10][Stereo][4130][MainThread][140049799059264][reader][1373][INFO]: offsetY: 0\n",
"[2024-01-17 10:23:10][Stereo][4130][MainThread][140049799059264][reader][1376][INFO]: Average number of genes: 223.460693359375\n",
"[2024-01-17 10:23:10][Stereo][4130][MainThread][140049799059264][reader][1379][INFO]: Maximum number of genes: 1046\n",
"[2024-01-17 10:23:10][Stereo][4130][MainThread][140049799059264][reader][1382][INFO]: Average expression: 399.17034912109375\n",
"[2024-01-17 10:23:10][Stereo][4130][MainThread][140049799059264][reader][1385][INFO]: Maximum expression: 2337\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"version is 0.7.14 \n"
]
},
{
"data": {
"text/plain": [
"{'cell_num': 57133,\n",
" 'gene_num': 24670,\n",
" 'resolution': 500,\n",
" 'offsetX': 0,\n",
" 'offsetY': 0,\n",
" 'averageGeneCount': 223.4607,\n",
" 'maxGeneCount': 1046,\n",
" 'averageExpCount': 399.17035,\n",
" 'maxExpCount': 2337}"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data_path = './SS200000135TL_D1.cellbin.gef'\n",
"st.io.read_gef_info(data_path)"
]
},
{
"cell_type": "markdown",
"id": "8d1f583d",
"metadata": {},
"source": [
"
\n",
"\n",
"**Note**\n",
"\n",
"`bin_type` should be set to `'cell_bins'`, if read a GEF file of `.cellbin.gef`, which is significantly different from Square Bin.\n",
"\n",
"
"
]
},
{
"cell_type": "markdown",
"id": "b2bb60e4",
"metadata": {},
"source": [
"Load data to generate a StereoExpData object."
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "d6163221",
"metadata": {
"ExecuteTime": {
"end_time": "2023-02-13T06:40:27.898119Z",
"start_time": "2023-02-13T06:40:23.353364Z"
},
"execution": {
"iopub.execute_input": "2024-01-17T02:23:10.453877Z",
"iopub.status.busy": "2024-01-17T02:23:10.453317Z",
"iopub.status.idle": "2024-01-17T02:23:11.291594Z",
"shell.execute_reply": "2024-01-17T02:23:11.290818Z",
"shell.execute_reply.started": "2024-01-17T02:23:10.453827Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[2024-01-17 10:23:10][Stereo][4130][MainThread][140049799059264][reader][1070][INFO]: read_gef begin ...\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"version is 0.7.14 \n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"[2024-01-17 10:23:11][Stereo][4130][MainThread][140049799059264][reader][1354][INFO]: This is GEF file which contains cell bin infomation.\n",
"[2024-01-17 10:23:11][Stereo][4130][MainThread][140049799059264][reader][1355][INFO]: bin_type: cell_bins\n",
"[2024-01-17 10:23:11][Stereo][4130][MainThread][140049799059264][reader][1361][INFO]: Number of cells: 57133\n",
"[2024-01-17 10:23:11][Stereo][4130][MainThread][140049799059264][reader][1364][INFO]: Number of gene: 24670\n",
"[2024-01-17 10:23:11][Stereo][4130][MainThread][140049799059264][reader][1367][INFO]: Resolution: 500\n",
"[2024-01-17 10:23:11][Stereo][4130][MainThread][140049799059264][reader][1370][INFO]: offsetX: 0\n",
"[2024-01-17 10:23:11][Stereo][4130][MainThread][140049799059264][reader][1373][INFO]: offsetY: 0\n",
"[2024-01-17 10:23:11][Stereo][4130][MainThread][140049799059264][reader][1376][INFO]: Average number of genes: 223.460693359375\n",
"[2024-01-17 10:23:11][Stereo][4130][MainThread][140049799059264][reader][1379][INFO]: Maximum number of genes: 1046\n",
"[2024-01-17 10:23:11][Stereo][4130][MainThread][140049799059264][reader][1382][INFO]: Average expression: 399.17034912109375\n",
"[2024-01-17 10:23:11][Stereo][4130][MainThread][140049799059264][reader][1385][INFO]: Maximum expression: 2337\n",
"[2024-01-17 10:23:11][Stereo][4130][MainThread][140049799059264][reader][1158][INFO]: the matrix has 57133 cells, and 24670 genes.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"version is 0.7.14 \n"
]
},
{
"data": {
"text/plain": [
"StereoExpData object with n_cells X n_genes = 57133 X 24670\n",
"bin_type: cell_bins\n",
"offset_x = None\n",
"offset_y = None\n",
"cells: ['cell_name', 'dnbCount', 'area']\n",
"genes: ['gene_name']\n",
"result: []"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data = st.io.read_gef(file_path=data_path, bin_type='cell_bins')\n",
"\n",
"# simply type the varibale to get related information\n",
"data"
]
},
{
"cell_type": "markdown",
"id": "3d188028",
"metadata": {},
"source": [
"## Preprocessing"
]
},
{
"cell_type": "markdown",
"id": "2675750b",
"metadata": {},
"source": [
"Data preprocessing includes three modules: quality control, filtering and normalization."
]
},
{
"cell_type": "markdown",
"id": "65372930",
"metadata": {},
"source": [
"#### Quality Control"
]
},
{
"cell_type": "markdown",
"id": "1872a0de",
"metadata": {},
"source": [
"This module calculates the quality distribution of original data, using three indicators:\n",
"\n",
" total_counts - the total counts per cell;\n",
"\n",
" n_genes_by_counts - the number of genes expressed in count maxtrix;\n",
"\n",
" pct_countss_mt - the percentage of counts in mitochondrial genes."
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "c2ce2579",
"metadata": {
"ExecuteTime": {
"end_time": "2023-02-13T06:40:28.208100Z",
"start_time": "2023-02-13T06:40:27.900760Z"
},
"execution": {
"iopub.execute_input": "2024-01-17T02:23:11.292848Z",
"iopub.status.busy": "2024-01-17T02:23:11.292651Z",
"iopub.status.idle": "2024-01-17T02:23:11.727317Z",
"shell.execute_reply": "2024-01-17T02:23:11.726481Z",
"shell.execute_reply.started": "2024-01-17T02:23:11.292832Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[2024-01-17 10:23:11][Stereo][4130][MainThread][140049799059264][st_pipeline][41][INFO]: start to run cal_qc...\n",
"[2024-01-17 10:23:11][Stereo][4130][MainThread][140049799059264][st_pipeline][44][INFO]: cal_qc end, consume time 0.3780s.\n"
]
}
],
"source": [
"data.tl.cal_qc()"
]
},
{
"cell_type": "markdown",
"id": "b60583c2",
"metadata": {},
"source": [
"Show the violin figure of QC distribution."
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "f0aafb0e",
"metadata": {
"ExecuteTime": {
"end_time": "2023-02-13T06:41:00.369122Z",
"start_time": "2023-02-13T06:40:28.211333Z"
},
"execution": {
"iopub.execute_input": "2024-01-17T02:23:11.728764Z",
"iopub.status.busy": "2024-01-17T02:23:11.728535Z",
"iopub.status.idle": "2024-01-17T02:23:12.632789Z",
"shell.execute_reply": "2024-01-17T02:23:12.632071Z",
"shell.execute_reply.started": "2024-01-17T02:23:11.728740Z"
}
},
"outputs": [
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data.plt.violin()"
]
},
{
"cell_type": "markdown",
"id": "e1d7af2a",
"metadata": {},
"source": [
"Show the spatial scatter figure of QC distribution."
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "58195380",
"metadata": {
"ExecuteTime": {
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"
\n",
"\n",
"**Note**\n",
"\n",
"We strongly suggest to use `self.raw` to record the raw gene expression matrix which has been gone through basic processing, as an essential data set for subsequent differential testing and multiple analysis.\n",
"\n",
"
"
]
},
{
"cell_type": "markdown",
"id": "ac3b8fbb",
"metadata": {},
"source": [
"So in order to save the data and recall it conveniently, you can save the raw expression matrix by `data.tl.raw_checkpoint()`. "
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "386fa790",
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"outputs": [],
"source": [
"data.tl.raw_checkpoint()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "71782eef",
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{
"data": {
"text/plain": [
"StereoExpData object with n_cells X n_genes = 41948 X 24670\n",
"bin_type: cell_bins\n",
"offset_x = None\n",
"offset_y = None\n",
"cells: ['cell_name', 'dnbCount', 'area', 'total_counts', 'n_genes_by_counts', 'pct_counts_mt']\n",
"genes: ['gene_name', 'n_cells', 'n_counts', 'mean_umi']\n",
"result: []"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.tl.raw"
]
},
{
"cell_type": "markdown",
"id": "63d292ac",
"metadata": {},
"source": [
"
\n",
"\n",
"**Note**\n",
"\n",
"When you want to get raw data, just run `data.tl.reset_raw_data()`.\n",
"\n",
"
"
]
},
{
"cell_type": "markdown",
"id": "48f6416e",
"metadata": {},
"source": [
"#### Normalization"
]
},
{
"cell_type": "markdown",
"id": "2ab4eb17",
"metadata": {},
"source": [
"In this module, you can choose from following common methods of standardization:\n",
"\n",
"- [normalize_total](https://www.nature.com/articles/nbt.3192)\n",
"- [log1p](https://academic.oup.com/bioinformatics/article/37/15/2223/6155989)\n",
"- scale\n",
"- [scTransform](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1874-1)\n",
"- [quantile](https://github.com/panjie-payne/test-sphinx/blob/master/docs/source/_static/quantile.pdf)"
]
},
{
"cell_type": "markdown",
"id": "1402278a",
"metadata": {},
"source": [
"
\n",
"\n",
"**Note**\n",
"\n",
"If the parameter `inplace` is set to `True` by default, expression matrix data will be replaced by the corresponding result(here replaced by the normalized result), otherwise unchanged.\n",
"\n",
"
"
]
},
{
"cell_type": "markdown",
"id": "ca517fe8",
"metadata": {},
"source": [
"Run a combination method of `normalize_total` and `log1p` to normalize gene expression matrix as below:"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "64b262cf",
"metadata": {
"ExecuteTime": {
"end_time": "2023-02-13T06:51:38.674595Z",
"start_time": "2023-02-13T06:51:38.037413Z"
},
"execution": {
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"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[2024-01-17 10:23:17][Stereo][4130][MainThread][140049799059264][st_pipeline][41][INFO]: start to run normalize_total...\n",
"[2024-01-17 10:23:17][Stereo][4130][MainThread][140049799059264][st_pipeline][44][INFO]: normalize_total end, consume time 0.1879s.\n",
"[2024-01-17 10:23:17][Stereo][4130][MainThread][140049799059264][st_pipeline][41][INFO]: start to run log1p...\n",
"[2024-01-17 10:23:18][Stereo][4130][MainThread][140049799059264][st_pipeline][44][INFO]: log1p end, consume time 0.0988s.\n"
]
}
],
"source": [
"# inplace is set to True by default\n",
"\n",
"data.tl.normalize_total()\n",
"data.tl.log1p()"
]
},
{
"cell_type": "markdown",
"id": "34a9f925",
"metadata": {},
"source": [
"If you use `data.tl.sctransform` which includes the function of finding highly variable genes, you do not need to run `data.tl.highly_variable_genes`. In the subsequent `data.tl.pca` method, the parameter `use_highly_genes` has to be set as `False`. In brief, whether to use highly variable genes to run PCA depends on `filter_hvgs` in the normalization of scTransform. Learn more about [scTransform](https://github.com/BGIResearch/stereopy/blob/main/docs/source/Tutorials/sctransform.ipynb)."
]
},
{
"cell_type": "markdown",
"id": "2ba89ce0",
"metadata": {},
"source": [
"#### Highly variable genes"
]
},
{
"cell_type": "markdown",
"id": "965cc1fa",
"metadata": {},
"source": [
"Identify highly variable genes in cells."
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "b260ee68",
"metadata": {
"ExecuteTime": {
"end_time": "2023-02-13T06:51:40.428008Z",
"start_time": "2023-02-13T06:51:38.680512Z"
},
"execution": {
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},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[2024-01-17 10:23:18][Stereo][4130][MainThread][140049799059264][st_pipeline][41][INFO]: start to run highly_variable_genes...\n",
"[2024-01-17 10:23:18][Stereo][4130][MainThread][140049799059264][st_pipeline][44][INFO]: highly_variable_genes end, consume time 0.2935s.\n"
]
}
],
"source": [
"data.tl.highly_variable_genes(\n",
" min_mean=0.0125, \n",
" max_mean=3,\n",
" min_disp=0.5,\n",
" n_top_genes=2000, \n",
" res_key='highly_variable_genes'\n",
" )"
]
},
{
"cell_type": "markdown",
"id": "785778eb",
"metadata": {},
"source": [
"If `data.tl.scale(zero_center=False)` is used, sparse matrix will be used for calculation, which can greatly reduce the memory required for running."
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "3d7f0cae",
"metadata": {
"ExecuteTime": {
"end_time": "2023-02-13T06:51:41.928497Z",
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},
"execution": {
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}
},
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{
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"metadata": {},
"output_type": "display_data"
},
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# remember to choose a res_key when plot\n",
"\n",
"data.plt.highly_variable_genes(res_key='highly_variable_genes')"
]
},
{
"cell_type": "markdown",
"id": "c94559e7",
"metadata": {},
"source": [
"Scale each gene to unit variance. Clip values exceeding standard deviation 10. If `data.tl.scale(zero_center=False)` is used, sparse matrix will be used for calculation, which can greatly reduce the memory required for running."
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "20f97388-dfcb-498a-a17d-acf124d39ded",
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-17T02:23:20.182986Z",
"iopub.status.busy": "2024-01-17T02:23:20.182785Z",
"iopub.status.idle": "2024-01-17T02:23:31.885733Z",
"shell.execute_reply": "2024-01-17T02:23:31.884284Z",
"shell.execute_reply.started": "2024-01-17T02:23:20.182970Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[2024-01-17 10:23:20][Stereo][4130][MainThread][140049799059264][st_pipeline][41][INFO]: start to run scale...\n",
"[2024-01-17 10:23:31][Stereo][4130][MainThread][140049799059264][st_pipeline][44][INFO]: scale end, consume time 11.6879s.\n"
]
}
],
"source": [
"data.tl.scale()"
]
},
{
"cell_type": "markdown",
"id": "382ca45f",
"metadata": {},
"source": [
"## Embedding"
]
},
{
"cell_type": "markdown",
"id": "e075f4f8",
"metadata": {},
"source": [
"#### PCA (Principal component analysis)"
]
},
{
"cell_type": "markdown",
"id": "a4ee6950",
"metadata": {},
"source": [
"As a statistical technique for reducing dimensionality of a data set, PCA finds the max axes of greatest variation, which preserve as much information as possible. Notice that if set parameter `use_highly_genes` to `True`, only highly variable genes are used to run."
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "14030235",
"metadata": {
"ExecuteTime": {
"end_time": "2023-02-13T06:52:10.524008Z",
"start_time": "2023-02-13T06:51:57.774262Z"
},
"execution": {
"iopub.execute_input": "2024-01-17T02:23:31.888996Z",
"iopub.status.busy": "2024-01-17T02:23:31.887801Z",
"iopub.status.idle": "2024-01-17T02:23:40.477016Z",
"shell.execute_reply": "2024-01-17T02:23:40.476154Z",
"shell.execute_reply.started": "2024-01-17T02:23:31.888966Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[2024-01-17 10:23:31][Stereo][4130][MainThread][140049799059264][st_pipeline][41][INFO]: start to run pca...\n",
"[2024-01-17 10:23:40][Stereo][4130][MainThread][140049799059264][st_pipeline][44][INFO]: pca end, consume time 8.5786s.\n"
]
}
],
"source": [
"data.tl.pca(\n",
" use_highly_genes=True, \n",
" n_pcs=30, \n",
" res_key='pca'\n",
" )"
]
},
{
"cell_type": "markdown",
"id": "93c943f6",
"metadata": {},
"source": [
"When the parameter `res_key` arises, the corresponding result will be **stored automatically**, simply check:"
]
},
{
"cell_type": "markdown",
"id": "0c90b863",
"metadata": {},
"source": [
"data.tl.key_record"
]
},
{
"cell_type": "markdown",
"id": "d8079e94-145f-42b6-9bd3-99adec2037bb",
"metadata": {},
"source": [
"We can plot the `elbow` to help us to determine how to choose PCs to be used."
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "075ae465-298d-4595-93c9-8eb1a610d89b",
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-17T02:23:40.480287Z",
"iopub.status.busy": "2024-01-17T02:23:40.478109Z",
"iopub.status.idle": "2024-01-17T02:23:40.782465Z",
"shell.execute_reply": "2024-01-17T02:23:40.781282Z",
"shell.execute_reply.started": "2024-01-17T02:23:40.480255Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[2024-01-17 10:23:40][Stereo][4130][MainThread][140049799059264][plot_collection][84][INFO]: register plot_func elbow to \n"
]
},
{
"data": {},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.holoviews_exec.v0+json": "",
"text/html": [
"