Witrynaimport loompy as lp import pandas as pd import tqdm from arboreto.algo import _prepare_input, genie3, grnboost2 from arboreto.core import ( EARLY_STOP_WINDOW_LENGTH, RF_KWARGS, SGBM_KWARGS, infer_partial_network, target_gene_indices, to_tf_matrix, ) from arboreto.utils import … Witrynaimport json import zlib import base64 # collect SCENIC AUCell output lf = lp.connect(loom_path_output, mode="r+", validate=False) auc_mtx = pd.DataFrame(lf.ca.RegulonsAUC, index=lf.ca.CellID) lf.close() Using the above-generated matrix of cell x TFs and those scores, we can calculate a new embedding …
scenicplus.loom — SCENIC+ 0.1.dev132+g26f1691 documentation
Witrynaimport loompy as lp; import numpy as np; import scanpy as sc; x=sc.read_csv(f_exprMat);#R中导出的表达矩阵,行为样本名,列为基因名 row_attrs = {"Gene": np.array(x.var_names),}; col_attrs = {"CellID": np.array(x.obs_names)}; lp.create("sce_exp.loom",x.X.transpose(),row_attrs,col_attrs) … Witryna# 默认直接进入python,可以输入python代码 我输入的python代码如下所示: import os, sys os.getcwd () os.listdir (os.getcwd ()) os.chdir ( "/scenicdata" ) import loompy as lp; import numpy as np; import scanpy as sc; x=sc.read_csv ( "fibo_1000.csv" ); row_attrs = { "Gene" : np.array (x.var_names),}; col_attrs = { "CellID" : np.array (x.obs_names)}; ireland 58
How can I loop through a loom file to subset only some of the …
Witryna12 gru 2024 · 自己制作一个python 脚本,可以命名为 change.py , 内容如下所示: import os, sys os.getcwd () os.listdir (os.getcwd ()) import loompy as lp; import numpy as np; import scanpy as sc; x=sc.read_csv ("fibo_1000.csv"); row_attrs = {"Gene": np.array (x.var_names),}; col_attrs = {"CellID": np.array (x.obs_names)}; lp.create … Witryna19 paź 2024 · The text was updated successfully, but these errors were encountered: Witryna我输入的python代码如下所示: import os, sys os.getcwd() os.listdir(os.getcwd()) os.chdir("/scenicdata" ) import loompy as lp; import numpy as np; import scanpy as sc; x=sc.read_csv("fibo_1000.csv"); row_attrs = {"Gene": np.array(x.var_names),}; col_attrs = {"CellID": np.array(x.obs_names)}; … order in train