{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Protocol 2: Assessing cell type replicability against a pre-trained reference taxonomy\n", "\n", "Protocol 2 demonstrates how to assess cell types of a newly annotated dataset against a reference cell type taxonomy. Here we consider the cell type taxonomy established by the Brain Initiative Cell Census Network (BICCN) in the mouse primary motor cortex. The BICCN taxonomy was defined across a compendium of datasets sampling across multiple modalities (transcriptomics and epigenomics), it constitutes one of the richest neuronal resources currently available. When matching against a reference taxonomy, we assume that the reference is of higher resolution than the query dataset, i.e. the query dataset samples the same set or a\n", "subset of cells compared to the reference.\n", "\n", "## Step 1 - Pre-train a reference MetaNeighbor model.\n", "\n", "1. We start by importing utility packages and setting up the default behavior for plots." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:51:17.927923Z", "start_time": "2020-10-16T12:51:16.170598Z" }, "scrolled": true }, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import scanpy as sc\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import pymn\n", "import re" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:51:17.940486Z", "start_time": "2020-10-16T12:51:17.929826Z" } }, "outputs": [], "source": [ "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:51:17.947352Z", "start_time": "2020-10-16T12:51:17.942305Z" } }, "outputs": [], "source": [ "#These save characters as text in PDFs\n", "import matplotlib\n", "matplotlib.rcParams['pdf.fonttype'] = 42\n", "matplotlib.rcParams['ps.fonttype'] = 42\n", "\n", "#These change plot aesthetics\n", "\n", "sns.set(style='white', font_scale=1.25)\n", "plt.rc(\"axes.spines\", top=False, right=False)\n", "plt.rc('xtick', bottom=True)\n", "plt.rc('ytick', left=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "2. We load an already merged Anndata object containing the BICCN dataset. The full code for generating the dataset is available [here](https://github.com/gillislab/pyMN/blob/master/data/biccn.py), the dataset itself can be downloaded directly from Figshare using the link below." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:02.237720Z", "start_time": "2020-10-16T12:51:17.949000Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " % Total % Received % Xferd Average Speed Time Time Time Current\n", " Dload Upload Total Spent Left Speed\n", " 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\n", "100 117M 100 117M 0 0 2730k 0 0:00:44 0:00:44 --:--:-- 1968k\n" ] } ], "source": [ "!curl -L -o biccn_hvg.h5ad https://ndownloader.figshare.com/files/24928559" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:04.562436Z", "start_time": "2020-10-16T12:52:02.240264Z" }, "code_folding": [], "eval": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Observation names are not unique. To make them unique, call `.obs_names_make_unique`.\n" ] } ], "source": [ "adata = sc.read_h5ad('biccn_hvg.h5ad')" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:04.567698Z", "start_time": "2020-10-16T12:52:04.564317Z" } }, "outputs": [], "source": [ "adata.obs.columns = adata.obs.columns.astype(str)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The BICCN data contains 7 datasets totaling 482,712 cells. There are multiple sets of cell type labels depending on resolution (class, subclass, cluster) or type of labels (independent labels or labels defined from joint clustering). Note that, to reduce memory usage, we have already computed and restricted the dataset to a set of 319 highly variable genes.\n", "\n", "3. We create pre-trained models with the *trainModel* function, which has identical parameters as the *MetaNeighborUS* function. Here, we choose to focus on two sets of cell types: subclasses from the joint clustering (medium resolution, e.g., Vip interneurons, L2/3 IT excitatory neurons), and clusters from the joint clustering (high resolution, e.g., Chandelier cells)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Since the dataset has already been subsetted to the highly variable genes we can make a column of all Trues under `.var['highly_variable']`" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:04.572792Z", "start_time": "2020-10-16T12:52:04.569271Z" } }, "outputs": [], "source": [ "adata.var['highly_variable'] = True" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:39.661388Z", "start_time": "2020-10-16T12:52:04.575502Z" }, "scrolled": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/bharris/miniconda3/lib/python3.7/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version. Use is_categorical_dtype instead\n", " if not is_categorical(df_full[k]):\n", "/home/bharris/miniconda3/lib/python3.7/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version. Use is_categorical_dtype instead\n", " if not is_categorical(df_full[k]):\n" ] } ], "source": [ "ptrained_subclass = pymn.trainModel(adata, 'study_id', 'joint_subclass_label')\n", "ptrained_subclass.to_csv('pretrained_biccn_subclasses.csv')\n", "\n", "ptrained_cluster = pymn.trainModel(adata, 'study_id', 'joint_cluster_label')\n", "ptrained_cluster.to_csv('pretrained_biccn_clusters.csv')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For simplicity of use, we store the pretrained models to file using the \"write_csv\" function in pandas.\n", "\n", "## Step 2 - Compare annotations to pre-trained taxonomy\n", "\n", "4. We start by loading our query dataset (Tasic 2016, neurons from mouse primary visual cortex, available for download using curl) and our pre-trained subclass and cluster taxonomies.\n", "\n", "> Tasic data was aquired using the R scRNAseq package. You can see the code for aquiring and processing the data using a combination of these two [R](https://github.com/gillislab/pyMN/blob/master/data/tasic.R) and [python](https://github.com/gillislab/pyMN/blob/master/data/tasic.py) scripts" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:47.446730Z", "start_time": "2020-10-16T12:52:39.665418Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " % Total % Received % Xferd Average Speed Time Time Time Current\n", " Dload Upload Total Spent Left Speed\n", " 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\n", "100 55.2M 100 55.2M 0 0 7419k 0 0:00:07 0:00:07 --:--:-- 8665k\n" ] } ], "source": [ "!curl -L -o tasic.h5ad https://ndownloader.figshare.com/files/24928580" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:48.355366Z", "start_time": "2020-10-16T12:52:47.448892Z" }, "eval": true }, "outputs": [], "source": [ "tasic = sc.read_h5ad('tasic.h5ad')\n", "tasic.obs.columns = tasic.obs.columns.astype(str)\n", "\n", "biccn_subclasses = pd.read_csv('pretrained_biccn_subclasses.csv', index_col=0)\n", "biccn_clusters = pd.read_csv('pretrained_biccn_clusters.csv', index_col=0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that we add a \"study_id\" column to the Tasic metadata, as this information will be needed later by MetaNeighbor.\n", "\n", "4. To run MetaNeighbor, we use the \"MetaNeighborUS\" function but, compared to Protocol 1, we provide a pre-trained model instead of a set of highly variable genes (which are already contained in the pre-trained model). We start by checking if Tasic cell types are consistent with the BICCN subclass resolution." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:48.601215Z", "start_time": "2020-10-16T12:52:48.358141Z" }, "eval": true, "scrolled": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/bharris/pyMN/pymn/utils.py:99: UserWarning: Replacing any | with a . in study column values\n", " warnings.warn(\"Replacing any | with a . in study column values\")\n" ] } ], "source": [ "pymn.MetaNeighborUS(tasic,\n", " 'study_id',\n", " 'primary_type',\n", " trained_model=biccn_subclasses)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "5. We visualize AUROCs as a rectangular heatmap, with the reference taxonomy as columns and query cell types as rows." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:50.622850Z", "start_time": "2020-10-16T12:52:48.603755Z" }, "eval": true, "fig.height": 6.5, "fig.width": 7, "scrolled": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/bharris/miniconda3/lib/python3.7/site-packages/seaborn/matrix.py:1215: UserWarning: ``square=True`` ignored in clustermap\n", " warnings.warn(msg)\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pymn.plotMetaNeighborUS_pretrained(tasic,\n", " cmap='coolwarm',\n", " figsize=(10, 10),\n", " fontsize=6,\n", " xticklabels=True,\n", " yticklabels=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As in Protocol 1, we start by looking for evidence of global structure in the dataset. Here we recognize 3 red blocks, which correspond to non-neurons (top left), inhibitory neurons (middle) and excitatory neurons (bottom right). The presence of sub-blocks inside the 3 global blocks suggest that cell types can be matched more finely. For example, inside the inhibitory block, we can recognize sub-blocks corresponding to CGE- derived interneurons (Vip, Sncg and Lamp5 in the BICCN taxonomy) and MGE-derived interneurons (Pvalb\n", "and Sst in the BICCN taxonomy).\n", "\n", "6. We refine AUROCs by focusing on inhibitory neurons. We use two utility functions (\"splitTrainClusters\" and \"splitTestClusters\") to select the relevant cell types." ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:52.087660Z", "start_time": "2020-10-16T12:52:50.625486Z" }, "eval": true, "fig.height": 6.5, "fig.width": 7, "scrolled": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/bharris/miniconda3/lib/python3.7/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version. Use is_categorical_dtype instead\n", " if not is_categorical(df_full[k]):\n", "/home/bharris/pyMN/pymn/utils.py:99: UserWarning: Replacing any | with a . in study column values\n", " warnings.warn(\"Replacing any | with a . in study column values\")\n", "Trying to set attribute `.uns` of view, copying.\n", "/home/bharris/miniconda3/lib/python3.7/site-packages/seaborn/matrix.py:1215: UserWarning: ``square=True`` ignored in clustermap\n", " warnings.warn(msg)\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gabaergic_biccn = pymn.splitTestClusters(tasic, k=4, save_uns=False)[0]\n", "gabaergic_tasic = pymn.splitTrainClusters(tasic, k=4, save_uns=False)[1]\n", "\n", "keep_cells = np.in1d(\n", " pymn.join_labels(tasic.obs['study_id'], tasic.obs['primary_type']),\n", " gabaergic_tasic)\n", "\n", "tasic_subset = tasic[keep_cells]\n", "\n", "pymn.MetaNeighborUS(tasic_subset,\n", " 'study_id',\n", " 'primary_type',\n", " trained_model=biccn_subclasses[gabaergic_biccn])\n", "\n", "pymn.plotMetaNeighborUS_pretrained(tasic_subset,\n", " cmap='coolwarm',\n", " xticklabels=True,\n", " yticklabels=True,\n", " figsize=(10, 10))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The heatmap suggests that there is a broad agreement at the subclass level between the BICCN MOp taxonomy and the Tasic 2016 dataset. For example, the Ndnf subtypes, Igtp and Smad3 cell types from the Tasic dataset match with the BICCN Lamp5 subclass.\n", "\n", "7. The previous heatmaps suggest that all Tasic cell types can be matched with one BICCN subclass. We now go one step further and ask whether inhibitory cell types correspond to one of the BICCN clusters." ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:53.263365Z", "start_time": "2020-10-16T12:52:52.089923Z" }, "eval": true, "fig.height": 6.5, "fig.width": 7, "scrolled": false }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pymn.MetaNeighborUS(tasic_subset,\n", " 'study_id',\n", " 'primary_type',\n", " trained_model=biccn_clusters)\n", "pymn.plotMetaNeighborUS_pretrained(tasic_subset,\n", " cmap='coolwarm',\n", " figsize=(10, 10),\n", " fontsize=8)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here the heatmap is difficult to interpret due to the large number of BICCN cell types (output omitted here). Because there is a limited number of cell types in the query dataset, we directly investigate the top hits for each query cell type." ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:53.272992Z", "start_time": "2020-10-16T12:52:53.265336Z" }, "eval": true }, "outputs": [ { "data": { "text/plain": [ "scSS|Sst Chodl 1.000000\n", "scCv2|Sst Chodl 1.000000\n", "snSS|Sst Chodl 1.000000\n", "snCv2|Sst Chodl 1.000000\n", "snCv3M|Sst Chodl 1.000000\n", "snCv3Z|Sst Chodl 1.000000\n", "scCv3|Sst Chodl 0.999966\n", "scSS|L6b Ror1 0.990278\n", "scCv3|L6b Ror1 0.988991\n", "snCv3M|L6b Ror1 0.986450\n", "Name: tasic|Sst Chodl, dtype: float64" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result = tasic_subset.uns['MetaNeighborUS']\n", "result.loc[\"tasic|Sst Chodl\",].sort_values(ascending=False).head(10)\n" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:53.280522Z", "start_time": "2020-10-16T12:52:53.274560Z" } }, "outputs": [ { "data": { "text/plain": [ "snCv2|Pvalb Vipr2_2 0.965672\n", "scSS|Pvalb Vipr2_2 0.964620\n", "scCv2|Pvalb Vipr2_2 0.963855\n", "snCv3Z|Pvalb Vipr2_2 0.954963\n", "scCv3|Pvalb Vipr2_2 0.950182\n", "snSS|Pvalb Vipr2_2 0.942915\n", "snCv3M|Pvalb Vipr2_2 0.930197\n", "scCv2|SMC 0.905336\n", "snCv3Z|L4/5 IT_2 0.875311\n", "snCv3M|VLMC_6 0.856569\n", "Name: tasic|Pvalb Cpne5, dtype: float64" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result.loc[\"tasic|Pvalb Cpne5\",].sort_values(ascending=False).head(10)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We note two properties of matching against a pre-trained reference. First, replicable cell types have a clear top match in each of the reference dataset. Sst Chodl (long-projecting interneurons) match to similarly named clusters in the BICCN with an AUROC > 0.9999, Pvalb Cpne5 (Chandelier cells) match with the Pvalb Vipr2_2 cluster with AUROC > 0.93. Second, we have to be beware of false positives. For example, Sst Chodl secondarily matches with the L6b Ror1 cell types with AUROC > 0.98, an excitatory cell type only distantly related with long-projecting interneurons. When we use a pre-trained model, we only compute AUROCs with the reference data as the train data, so we cannot identify reciprocal hits. If we had been able to use “Tasic|Sst Chodl” as the training cluster, its votes would have gone heavily in favor of the BICCN’s Sst Chodl, making L6b Ror1 a low AUROC match on average. Because of the low dimensionality of gene expression space, we expect false positive hits to occur just by chance (e.g., cell types reusing similar pathways) when a cell type is missing in the query dataset. Here L6b Ror1 (an excitatory type) had no natural match with the Tasic inhibitory cell types and voted for its closest match, long-projecting interneurons.\n", "\n", "There are three alternatives to separate true hits from false positive hits. First, if a cell type is highly replicable, it will have a clear top matching cluster in the reference dataset. Second, if the query dataset is known to be a particular subset of the reference dataset (e.g., inhibitory neurons, as is the case here), we recommend restricting the reference taxonomy to that subset. Third, if the first two solutions don’t yield clear results or cannot be performed, it is possible to go back to reciprocal testing by using the full BICCN dataset instead of the pre-trained reference.\n", "\n", "We illustrate the first solution in the case of Chandelier cells." ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:53.285845Z", "start_time": "2020-10-16T12:52:53.282074Z" } }, "outputs": [], "source": [ "get_cell_type = np.vectorize(lambda x: x.split('|')[1])" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:53.490966Z", "start_time": "2020-10-16T12:52:53.287857Z" }, "scrolled": false }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "chodl_hits = result.loc[\"tasic|Pvalb Cpne5\"]\n", "\n", "is_chodl = get_cell_type(chodl_hits.index) == 'Pvalb Vipr2_2'\n", "\n", "hits = 1 - chodl_hits\n", "hits[hits == 0] = np.min(hits[hits != 0])\n", "\n", "if sns.__version__ == '0.11.0': #Highly reccomned upgrading to 0.11.0\n", " ax = sns.histplot(np.log10(hits))\n", "else:\n", " ax = sns.distplot(np.log10(hits))\n", "for val in np.log10(hits[is_chodl]):\n", " ax.axvline(val, c='r')\n", "ax.set(xlabel='log10(1-AUROC)')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To illustrate AUROC differences, we chose a logarithmic scaling to reflect that AUROC values do not scale linearly: when AUROCs are close to 1, a difference of 0.05 is substantial. Here, the best matching BICCN cluster (“Pvalb Vipr2_2”) is order of magnitudes better than other clusters, suggesting very strong replicability.\n", "\n", "9. The second solution to avoid false positive hits is to subset the reference to cell types that reflect the composition of the query datasets. Since we are looking at inhibitory neurons, we can restrict the BICCN taxonomy to inhibitory cell types, which names all start with “Pvalb”, “Sst”, “Lamp5”, “Vip” or “Sncg”." ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:53.737318Z", "start_time": "2020-10-16T12:52:53.492816Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/bharris/miniconda3/lib/python3.7/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version. Use is_categorical_dtype instead\n", " if not is_categorical(df_full[k]):\n", "/home/bharris/pyMN/pymn/utils.py:99: UserWarning: Replacing any | with a . in study column values\n", " warnings.warn(\"Replacing any | with a . in study column values\")\n" ] }, { "data": { "text/plain": [ "scCv3|Sst Chodl 1.000000\n", "snCv3Z|Sst Chodl 1.000000\n", "snCv3M|Sst Chodl 1.000000\n", "snSS|Sst Chodl 1.000000\n", "scSS|Sst Chodl 1.000000\n", "snCv2|Sst Chodl 1.000000\n", "scCv2|Sst Chodl 1.000000\n", "snCv3M|Sst Pappa 0.888144\n", "snCv2|Sst Th_3 0.874119\n", "snCv3Z|Sst Calb2 0.868259\n", "Name: tasic|Sst Chodl, dtype: float64" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "find_gaba = re.compile(\"^(Pvalb|Sst|Lamp5|Vip|Sncg)\")\n", "get_gaba = np.vectorize(lambda x: find_gaba.search(x))\n", "\n", "is_gaba = get_gaba(get_cell_type(biccn_clusters.columns)) != None\n", "biccn_gaba = biccn_clusters.loc[:, is_gaba]\n", "biccn_gaba_res = pymn.MetaNeighborUS(tasic_subset,\n", " 'study_id',\n", " 'primary_type',\n", " trained_model=biccn_gaba,\n", " save_uns=False)\n", "biccn_gaba_res.loc[\"tasic|Sst Chodl\"].sort_values(ascending=False).head(10)\n" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:53.748199Z", "start_time": "2020-10-16T12:52:53.740198Z" } }, "outputs": [ { "data": { "text/plain": [ "snCv3M|Pvalb Vipr2_2 0.998948\n", "snCv3Z|Pvalb Vipr2_2 0.998853\n", "snCv2|Pvalb Vipr2_2 0.995506\n", "scSS|Pvalb Vipr2_2 0.995028\n", "snSS|Pvalb Vipr2_2 0.994645\n", "scCv2|Pvalb Vipr2_2 0.993880\n", "scCv3|Pvalb Vipr2_2 0.978390\n", "snCv3M|Pvalb Vipr2_1 0.932014\n", "scSS|Lamp5 Lhx6 0.883343\n", "snSS|Lamp5 Lhx6 0.878944\n", "Name: tasic|Pvalb Cpne5, dtype: float64" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "biccn_gaba_res.loc[\"tasic|Pvalb Cpne5\"].sort_values(ascending=False).head(10)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Again, we note that there is a significant gap between the best hit and the secondary hit, but now secondary hits are closely related cell types (Sst subtype for Sst Chodl, secondary Chandelier cell type Pvalb Vipr2_1 for Pvalb Cpne5).\n", "\n", "10. To obtain a more stringent mapping between the query cell types and reference cell types, we use one-vs-best AUROC, which will automatically match the best hit against the best secondary hit." ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:57.412813Z", "start_time": "2020-10-16T12:52:53.749950Z" }, "eval": true, "fig.height": 6.5, "fig.width": 7 }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/bharris/miniconda3/lib/python3.7/site-packages/seaborn/matrix.py:1215: UserWarning: ``square=True`` ignored in clustermap\n", " warnings.warn(msg)\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pymn.MetaNeighborUS(tasic_subset,\n", " 'study_id',\n", " 'primary_type',\n", " trained_model=biccn_gaba,\n", " fast_version=True,\n", " one_vs_best=True)\n", "pymn.plotMetaNeighborUS_pretrained(tasic_subset,\n", " cmap='coolwarm',\n", " mn_key='MetaNeighborUS_1v1',\n", " figsize=(10, 10))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now the hit structure is much sparser, which helps identify 1:1 and 1:n hits. The heatmap suggests that most Tasic cell types match with one or several BICCN clusters, which we can further inspect by looking at top hits." ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:57.421261Z", "start_time": "2020-10-16T12:52:57.414532Z" }, "eval": true }, "outputs": [ { "data": { "text/plain": [ "snSS|Sst Chodl 1.000000\n", "snCv3Z|Sst Chodl 1.000000\n", "snCv3M|Sst Chodl 1.000000\n", "snCv2|Sst Chodl 1.000000\n", "scSS|Sst Chodl 1.000000\n", "scCv3|Sst Chodl 1.000000\n", "scCv2|Sst Chodl 1.000000\n", "snCv3M|Sst Pappa 0.427905\n", "scCv2|Lamp5 Egln3_1 NaN\n", "scCv2|Lamp5 Egln3_2 NaN\n", "Name: tasic|Sst Chodl, dtype: float64" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "best_hits = tasic_subset.uns['MetaNeighborUS_1v1']\n", "best_hits.loc[\"tasic|Sst Chodl\"].sort_values(ascending=False).head(10)\n" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:57.429562Z", "start_time": "2020-10-16T12:52:57.424061Z" } }, "outputs": [ { "data": { "text/plain": [ "snCv3M|Pvalb Vipr2_2 0.990946\n", "snCv3Z|Pvalb Vipr2_2 0.989940\n", "scSS|Pvalb Vipr2_2 0.966801\n", "snCv2|Pvalb Vipr2_2 0.964789\n", "snSS|Pvalb Vipr2_2 0.959759\n", "scCv2|Pvalb Vipr2_2 0.951710\n", "scCv3|Pvalb Vipr2_2 0.834004\n", "snCv3M|Pvalb Vipr2_1 0.579365\n", "scCv2|Lamp5 Egln3_1 NaN\n", "scCv2|Lamp5 Egln3_2 NaN\n", "Name: tasic|Pvalb Cpne5, dtype: float64" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "best_hits.loc[\"tasic|Pvalb Cpne5\",].sort_values(ascending=False).head(10)" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "ExecuteTime": { "end_time": "2020-10-16T12:52:57.436130Z", "start_time": "2020-10-16T12:52:57.430970Z" }, "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "snCv3Z|Sst C1ql3_1 0.984962\n", "snCv2|Sst C1ql3_1 0.984962\n", "snCv3M|Sst C1ql3_1 0.984962\n", "scCv2|Sst C1ql3_1 0.973923\n", "scSS|Sst C1ql3_1 0.973684\n", "snSS|Sst C1ql3_2 0.973684\n", "snSS|Sst C1ql3_1 0.966165\n", "scCv3|Sst C1ql3_2 0.962406\n", "scCv2|Sst C1ql3_2 0.958647\n", "scCv3|Sst C1ql3_1 0.956221\n", "Name: tasic|Sst Tacstd2, dtype: float64" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "best_hits.loc[\"tasic|Sst Tacstd2\",].sort_values(ascending=False).head(10)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Using this more stringent assessment, we confirm that Sst Chodl strongly replicates inside the BICCN (one-vs-best AUROC ~ 1, best secondary hit = 0.43), same for Pvalb Cpne5 (one-vs-best AUROC > 0.83, best secondary hit = 0.58), while for example Sst Tacstd2 corresponds to multiple BICCN subtypes (including\n", "Sst C1ql3_1, Sst C1ql3_2, AUROC > 0.95).\n", "\n", "Pre-training a MetaNeighbor model thus provides a rigorous, fast and simple way to query a large reference dataset and obtain quantitative estimations of the replicability of newly annotated clusters." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "jupytext": { "cell_metadata_filter": "fig.height,eval,fig.width,-all", "main_language": "R", "notebook_metadata_filter": "-all" }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.0" }, "latex_envs": { "LaTeX_envs_menu_present": true, "autoclose": false, "autocomplete": true, "bibliofile": "biblio.bib", "cite_by": "apalike", "current_citInitial": 1, "eqLabelWithNumbers": true, "eqNumInitial": 1, "hotkeys": { "equation": "Ctrl-E", "itemize": "Ctrl-I" }, "labels_anchors": false, "latex_user_defs": false, "report_style_numbering": false, "user_envs_cfg": false }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": { "height": "calc(100% - 180px)", "left": "10px", "top": "150px", "width": "326.594px" }, "toc_section_display": true, "toc_window_display": true } }, "nbformat": 4, "nbformat_minor": 2 }