{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": "# Visualization of Spatially Continuous Reconstructions" }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Loading Packages" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import warnings\n", "warnings.filterwarnings('ignore')\n", "\n", "import numpy as np\n", "import pandas as pd\n", "import scanpy as sc\n", "from sklearn.preprocessing import MinMaxScaler\n", "\n", "import matplotlib.pyplot as plt\n", "from matplotlib.gridspec import GridSpec, GridSpecFromSubplotSpec\n", "\n", "import sys\n", "sys.path.append(\"../../../\")\n", "from SpatialCOC.preprocess import preprocessing" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Loading Data" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Processing ATAC now!\n", "Spatial-epigenome-transcriptome data preprocessing have done!\n", "Dimensions after preprocessed adata_modal_1: (9196, 3000)\n", "Dimensions after preprocessing adata_modal_2: (9196, 121068)\n", "Processing H3K4me3 now!\n", "Spatial-epigenome-transcriptome data preprocessing have done!\n", "Dimensions after preprocessed adata_modal_1: (9513, 3000)\n", "Dimensions after preprocessing adata_modal_2: (9513, 35270)\n", "Processing H3K27ac now!\n", "Spatial-epigenome-transcriptome data preprocessing have done!\n", "Dimensions after preprocessed adata_modal_1: (9323, 3000)\n", "Dimensions after preprocessing adata_modal_2: (9323, 104162)\n", "Processing H3K27me3 now!\n", "Spatial-epigenome-transcriptome data preprocessing have done!\n", "Dimensions after preprocessed adata_modal_1: (9732, 3000)\n", "Dimensions after preprocessing adata_modal_2: (9732, 70470)\n" ] } ], "source": [ "# name of slice\n", "slices = ['ATAC', 'H3K4me3', 'H3K27ac', 'H3K27me3']\n", "\n", "# Create a dictionary to store data for each slice\n", "adata_dict = {}\n", "\n", "for slice_name in slices:\n", " # file path\n", " rna_file_path = f\"../../../Data/Mouse_Brain_{slice_name}/adata_RNA.h5ad\"\n", " peaks_file_path = f\"../../../Data/Mouse_Brain_{slice_name}/adata_peaks_normalized.h5ad\"\n", " \n", " adata_modality_1 = sc.read_h5ad(rna_file_path)\n", " adata_modality_2 = sc.read_h5ad(peaks_file_path)\n", " \n", " # preprocessing\n", " print(f\"Processing {slice_name} now!\")\n", " adata_modality_1, adata_modality_2 = preprocessing(adata_modality_1, adata_modality_2, 'Spatial-epigenome-transcriptome')\n", " \n", " # storing\n", " adata_dict[slice_name] = {\n", " 'adata_RNA': adata_modality_1,\n", " 'adata_peaks_normalized': adata_modality_2\n", " }" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Calculating Smoothness" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Processing RNA data...\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "27fc4a97740c40198ebab9ca91228095", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/100 [00:00" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Plot the H3K4me3 slice.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Plot the H3K27ac slice.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Plot the H3K27me3 slice.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "\n", "# 从Excel文件读取平滑度数据\n", "moran_data = pd.read_excel('moran_summary.xlsx', sheet_name='RNA_Results', index_col=0)\n", "\n", "for slice_name, results in results_dict.items():\n", " print(f\"Plot the {slice_name} slice.\")\n", " sum_by_x = results['sum_by_x']\n", "\n", " rna_smoothness = moran_data.loc[slice_name, 'RNA']\n", " inr_smoothness = moran_data.loc[slice_name, 'INR']\n", "\n", " # Create a figure\n", " fig = plt.figure(figsize=(18, 7))\n", "\n", " # Create an outer GridSpec to define the overall layout of the figure\n", " outer_gs = GridSpec(1, 2, width_ratios=[9, 9], wspace=0.2)\n", "\n", " # Create the first inner GridSpec, containing the first and second subplots\n", " inner_gs1 = GridSpecFromSubplotSpec(1, 2, subplot_spec=outer_gs[0], width_ratios=[6, 1], wspace=0.05)\n", "\n", " # Create the second inner GridSpec, containing the third and fourth subplots\n", " inner_gs2 = GridSpecFromSubplotSpec(1, 2, subplot_spec=outer_gs[1], width_ratios=[6, 1], wspace=0.05)\n", "\n", " color = '#669bbc'\n", "\n", " # Set the global font to Arial and the global font size\n", " plt.rcParams['font.family'] = 'Arial'\n", " plt.rcParams['font.size'] = 24\n", "\n", " # Plot the first subplot: Bar chart of X1\n", " ax1 = fig.add_subplot(inner_gs1[0])\n", " ax1.bar(sum_by_x['x'], sum_by_x['X1'], color=color)\n", " ax1.set_xlabel('Spatial-x axis')\n", " ax1.set_ylabel('Original expression')\n", " ax1.set_ylim(0, 1.05)\n", " ax1.set_xlim(0, 99)\n", " for spine in ax1.spines.values():\n", " spine.set_linewidth(1.5)\n", "\n", " # Plot the second subplot: Bar chart of the absolute gradient of X1\n", " ax2 = fig.add_subplot(inner_gs1[1])\n", " bar2 = ax2.bar(['X1'], [rna_smoothness], color=color)\n", " ax2.set_ylim(0, 1.05)\n", " ax2.set_xlabel('Continuity', fontsize=24)\n", " ax2.set_xticks([])\n", " ax2.set_yticklabels([])\n", " ax2.set_yticks([])\n", " ax2.spines['top'].set_visible(False)\n", " ax2.spines['right'].set_visible(False)\n", " ax2.spines['bottom'].set_visible(False)\n", " ax2.spines['left'].set_visible(False)\n", "\n", " for bar in bar2:\n", " yval = bar.get_height()\n", " ax2.text(bar.get_x() + bar.get_width()/2, yval + 0.01, f'{yval:.2f}', ha='center', va='bottom')\n", "\n", " # Plot the third subplot: Line chart of X2 with filled area under the curve\n", " ax3 = fig.add_subplot(inner_gs2[0])\n", " ax3.plot(sum_by_x['x'], sum_by_x['X2'], color=color, linestyle='-')\n", " ax3.fill_between(sum_by_x['x'], sum_by_x['X2'], color=color, alpha=0.6)\n", " ax3.set_xlabel('Spatial-x axis')\n", " ax3.set_ylabel('INR')\n", " ax3.set_ylim(0, 1.05)\n", " ax3.set_xlim(0, 99)\n", " for spine in ax3.spines.values():\n", " spine.set_linewidth(1.5)\n", "\n", " # Plot the fourth subplot: Bar chart of the absolute gradient of X2\n", " ax4 = fig.add_subplot(inner_gs2[1])\n", " bar4 = ax4.bar(['X2'], [inr_smoothness], color=color)\n", " ax4.set_ylim(0, 1.05)\n", " ax4.set_xlabel('Continuity', fontsize=24)\n", " ax4.set_xticks([])\n", " ax4.set_yticklabels([])\n", " ax4.set_yticks([])\n", " ax4.spines['top'].set_visible(False)\n", " ax4.spines['right'].set_visible(False)\n", " ax4.spines['bottom'].set_visible(False)\n", " ax4.spines['left'].set_visible(False)\n", " # Display value labels above the bars\n", " for bar in bar4:\n", " yval = bar.get_height()\n", " ax4.text(bar.get_x() + bar.get_width()/2, yval + 0.01, f'{yval:.2f}', ha='center', va='bottom')\n", "\n", " plt.subplots_adjust(left=0.07, right=0.97, top=0.92, bottom=0.15)\n", " plt.suptitle('')\n", "\n", " plt.savefig(f'{slice_name}/INR_RNA.png', dpi=500)\n", " plt.savefig(f'{slice_name}/INR_RNA.eps')\n", "\n", " plt.show()" ] } ], "metadata": { "kernelspec": { "display_name": "Appeal", "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": "3.11.5" } }, "nbformat": 4, "nbformat_minor": 2 }