{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Alignment Step 2: Full-Resolution Recovery" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Alignment of full slices" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/anaconda3/envs/raftup/lib/python3.10/site-packages/dask/dataframe/__init__.py:31: FutureWarning: The legacy Dask DataFrame implementation is deprecated and will be removed in a future version. Set the configuration option `dataframe.query-planning` to `True` or None to enable the new Dask Dataframe implementation and silence this warning.\n", " warnings.warn(\n", "/opt/anaconda3/envs/raftup/lib/python3.10/site-packages/xarray_schema/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n", " from pkg_resources import DistributionNotFound, get_distribution\n" ] } ], "source": [ "import torch\n", "import pandas as pd\n", "from scipy.spatial import distance\n", "import numpy as np\n", "from raftup import (\n", " _downsample,\n", " _fsgw_utils,\n", " _metrics_two_gpr,\n", " _load_data,\n", " _plot,\n", " _recoverfull_new_new_knn\n", ")" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/salovjade/Library/CloudStorage/Dropbox/raftup_repo/src/raftup/_load_data.py:12: FutureWarning: Use `squidpy.read.visium` instead.\n", " ad = sc.read_visium(path=os.path.join(root_dir, section_id), count_file=section_id+'_filtered_feature_bc_matrix.h5')\n", "/opt/anaconda3/envs/raftup/lib/python3.10/site-packages/anndata/_core/anndata.py:1832: UserWarning: Variable names are not unique. To make them unique, call `.var_names_make_unique`.\n", " utils.warn_names_duplicates(\"var\")\n", "/Users/salovjade/Library/CloudStorage/Dropbox/raftup_repo/src/raftup/_load_data.py:12: FutureWarning: Use `squidpy.read.visium` instead.\n", " ad = sc.read_visium(path=os.path.join(root_dir, section_id), count_file=section_id+'_filtered_feature_bc_matrix.h5')\n", "/opt/anaconda3/envs/raftup/lib/python3.10/site-packages/anndata/_core/anndata.py:1832: UserWarning: Variable names are not unique. To make them unique, call `.var_names_make_unique`.\n", " utils.warn_names_duplicates(\"var\")\n" ] } ], "source": [ "# load anndata and downsampled data\n", "\n", "section_ids_list = [['151508', '151509']]\n", "pair = \"151508_151509\"\n", "\n", "for section_ids in section_ids_list:\n", " dataset = section_ids[0] + '_' + section_ids[1]\n", "\n", " sliceA = _load_data.load_DLPFC(section_id=section_ids[0])\n", " sliceB = _load_data.load_DLPFC(section_id=section_ids[1])\n", "\n", "random_state = 23\n", "np.random.seed(random_state)\n", "tar_distance = 1020\n", "\n", "downsampled_sliceA,indices_dsa = _downsample.downsample_slice(sliceA, tar_distance)\n", "\n", "\n", "downsampled_sliceB,indices_dsb = _downsample.downsample_slice(sliceB, tar_distance)\n", "\n", "\n", "np.save(f\"./results/align_data/{pair}_downsample_indices_dsa.npy\", indices_dsa)\n", "np.save(f\"./results/align_data/{pair}_downsample_indices_dsb.npy\", indices_dsb)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "137.00364958642524 279.0788419067271\n" ] } ], "source": [ "# load gene cost\n", "\n", "PT_PATH = f\"./results/gene_cost_matrix/{pair}_somde_cost_matrix.pt\"\n", "\n", "C = torch.load(PT_PATH, map_location=\"cpu\") \n", "M = C.numpy() \n", "\n", "D_A_test = distance.cdist(downsampled_sliceA.obsm['spatial'], downsampled_sliceA.obsm['spatial'])\n", "D_B_test = distance.cdist(downsampled_sliceB.obsm['spatial'], downsampled_sliceB.obsm['spatial'])\n", "\n", "testA = D_A_test[D_A_test>0]\n", "testB = D_B_test[D_B_test>0]\n", "print(np.min(testA), np.min(testB))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Check the performance of downsampled alignment. In general, better downsampled alignment induces better full alignment." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "GW cutoff: 279\n", "0.8705882352941177 0.12941176470588237 0.0 0.0 0.0 0.0 0.0\n", "transported P_1 mass: 0.4473684210526131\n", "binarized transported ratio: 0.46195652173913043\n", "full_LAA: 0.8705882352941177\n", "Number of columns with >=2 nonzeros: 0\n", "(184, 190)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# load downsampled alignment\n", "\n", "from pathlib import Path\n", "import numpy as np\n", "\n", "cutoff_GW_standard = int(np.max([np.min(testA), np.min(testB)]))\n", "print(\"GW cutoff:\", cutoff_GW_standard)\n", "\n", "\n", "SAVE_DIR = Path(\"./results/align_data\")\n", "\n", "load_path = SAVE_DIR / f\"ds_matching_{pair}_{206}_{0.2}.npy\"\n", "\n", "P_1 = np.load(load_path)\n", "\n", "P_hard = np.zeros_like(P_1)\n", "row_max_idx = P_1.argmax(axis=1) \n", "P_hard[np.arange(P_1.shape[0]), row_max_idx] = P_1[np.arange(P_1.shape[0]), row_max_idx]\n", "\n", "test_label_sub = np.concatenate((np.array(downsampled_sliceA.obs['original_clusters']),np.array(downsampled_sliceB.obs['original_clusters'])),axis=0)\n", "XA_sub = downsampled_sliceA.obsm['spatial']\n", "XB_sub = downsampled_sliceB.obsm['spatial']\n", "\n", "full_dela_raftup_LAA = _metrics_two_gpr.cal_layer_based_alignment_result_full_skip_all_zero(P_hard, test_label_sub)\n", "\n", "nonzero_rows = np.count_nonzero(np.any(P_hard != 0, axis=1))\n", "n_rows = P_hard.shape[0]\n", "\n", "print(\"transported P_1 mass:\", P_1.sum())\n", "print(\"binarized transported ratio:\", nonzero_rows / n_rows)\n", "print(\"full_LAA:\", full_dela_raftup_LAA[0])\n", "\n", "col_nnz = np.count_nonzero(P_hard, axis=0) \n", "conflict_cols = np.where(col_nnz >= 2)[0]\n", "num_conflict_cols = len(conflict_cols)\n", "\n", "print(\"Number of columns with >=2 nonzeros:\", num_conflict_cols)\n", "\n", "print(P_hard.shape)\n", "\n", "_plot.plot_3d(sliceA.obsm['spatial'], sliceB.obsm['spatial'], P_hard, indices_dsa, indices_dsb, linewidth=0.5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In general, the gene cutoff \\rho_{f_2} in full alignment is larger than the gene cutoff \\rho_{f_1} in downsampled alignment to enlarge more spots aligned near the anchor spots (downsampled/aligned spots). \n", "A preferable ratio of \\rho_{f_2} over \\rho_{f_1} is 2.\n", "\n", "The spatial cutoff \\rho_t is the same as the spatial cutoff \\rho_s in downsampled alignment. \n", "In general, a preferable ratio of \\rho_s over \\rho_s is less than or equal to 1.\n", "\n", "k_1 and k_2 are two parameters for generating the spatial cost of full slices given aligned anchor spots. For spot \\alpha in sliceA and spot \\beta in sliceB, the spatical cost between \\alpha and \\beta is fully determined by the k_1 aligned anchor spots of subsliceA and the k_2 aligned anchor spots of subsliceB. \n", "The default k_1 = k_2 = 10." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Running alignment for section pair\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "recover_full_mapping_knn: 75%|███████▌ | 6/8 [02:46<00:55, 27.55s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Number of blocked positions in recover_full sOT (kNN): 20961693\n", "Number of possible aligned positions (kNN): 14535\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " \r" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Number of iterations in unot: 15011, final error: 9.89e-09\n", "0.8671351006068349 0.1306291919514532 0.0 0.0 0.0 0.0 0.002235707441711913\n", "thresh CCC is: 0.4\n", "thresh CGW is: 206\n", "transported mass: 0.6497482769542751\n", "full_dela_raftup_LAA: 0.8671351006068349\n", "full_dela_raftup_GPR_300: 0.8624001047963583\n", "full_dela_raftup_GPR_600: 0.9065542319241768\n", "full_dela_raftup_GPR_900: 0.9359730165214817\n" ] } ], "source": [ "# knn recover full\n", "\n", "thresh_CCC_list = {0.4}\n", "\n", "thresh_CGW_list = {206}\n", "\n", "\n", "test_label_full = np.concatenate((np.array(sliceA.obs['original_clusters']),np.array(sliceB.obs['original_clusters'])),axis=0)\n", "XA_full = sliceA.obsm['spatial']\n", "XB_full = sliceB.obsm['spatial']\n", "\n", "for thresh_CCC in thresh_CCC_list:\n", " for thresh_CGW in thresh_CGW_list:\n", " print(f\"Running alignment for section pair\")\n", " P_full_knn = _recoverfull_new_new_knn.recover_full_mapping_knn(\n", " M = M,\n", " X1 = sliceA.obsm['spatial'],\n", " X2 = sliceB.obsm['spatial'],\n", " P = P_hard,\n", " idx1 = indices_dsa,\n", " idx2 = indices_dsb,\n", " k1 = 10, \n", " k2 = 10, \n", " thresh_CGW=thresh_CGW, \n", " thresh_CCC=thresh_CCC, \n", " eps=0.01\n", " )\n", " P_full_dense_knn = P_full_knn.toarray()\n", "\n", " full_dela_raftup_LAA = _metrics_two_gpr.cal_layer_based_alignment_result_full_skip_all_zero(P_full_dense_knn, test_label_full)\n", " full_dela_raftup_GPR_300= _metrics_two_gpr.GPR_original(P_full_dense_knn , XA_full, XB_full, dis_cut=300, P_cut=1e-19)\n", " full_dela_raftup_GPR_600= _metrics_two_gpr.GPR_original(P_full_dense_knn , XA_full, XB_full, dis_cut=600, P_cut=1e-19)\n", " full_dela_raftup_GPR_900= _metrics_two_gpr.GPR_original(P_full_dense_knn , XA_full, XB_full, dis_cut=900, P_cut=1e-19)\n", "\n", " print(\"thresh CCC is:\", thresh_CCC )\n", " print(\"thresh CGW is:\", thresh_CGW )\n", " print(\"transported mass:\", P_full_dense_knn.sum())\n", " print(\"full_dela_raftup_LAA:\", full_dela_raftup_LAA[0])\n", "\n", " print(\"full_dela_raftup_GPR_300:\", full_dela_raftup_GPR_300)\n", " print(\"full_dela_raftup_GPR_600:\", full_dela_raftup_GPR_600)\n", " print(\"full_dela_raftup_GPR_900:\", full_dela_raftup_GPR_900)\n", " np.save(f'./results/align_data/full_matching_{pair}_{thresh_CGW}_{thresh_CCC}.npy',P_full_dense_knn)" ] } ], "metadata": { "kernelspec": { "display_name": "fsgw_test_paste2", "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": "3.10.19" } }, "nbformat": 4, "nbformat_minor": 2 }