from clustergrammer2 import net
df = {}
from glob import glob
>> clustergrammer2 backend version 0.5.1
all_files = glob('../data/lig-rec_*')
for inst_file in all_files:
inst_comp = inst_file.split('_')[-1].replace('.txt','')
net.load_file(inst_file)
df[inst_comp] = net.export_df()
net.load_df(df['CD4-CD4'])
net.widget()
ExampleWidget(network='{"row_nodes": [{"name": "SEMA4A", "ini": 39, "clust": 30, "rank": 1, "rankvar": 35, "gr…
net.load_df(df['CD4-CD8'])
net.widget()
ExampleWidget(network='{"row_nodes": [{"name": "SEMA4A", "ini": 43, "clust": 41, "rank": 23, "rankvar": 3, "gr…
net.load_df(df['CD4-Mac'])
net.widget()
ExampleWidget(network='{"row_nodes": [{"name": "SEMA4A", "ini": 57, "clust": 20, "rank": 22, "rankvar": 19, "g…
net.load_df(df['CD8-CD4'])
net.widget()
ExampleWidget(network='{"row_nodes": [{"name": "SEMA4A", "ini": 43, "clust": 31, "rank": 3, "rankvar": 38, "gr…
net.load_df(df['CD8-CD8'])
net.widget()
ExampleWidget(network='{"row_nodes": [{"name": "TGFB1", "ini": 48, "clust": 29, "rank": 16, "rankvar": 26, "gr…
net.load_df(df['CD8-Mac'])
net.widget()
ExampleWidget(network='{"row_nodes": [{"name": "SEMA4A", "ini": 55, "clust": 16, "rank": 29, "rankvar": 4, "gr…
net.load_df(df['Mac-CD4'])
net.widget()
ExampleWidget(network='{"row_nodes": [{"name": "SEMA4A", "ini": 60, "clust": 58, "rank": 6, "rankvar": 51, "gr…
net.load_df(df['Mac-CD8'])
net.widget()
ExampleWidget(network='{"row_nodes": [{"name": "SEMA4A", "ini": 60, "clust": 30, "rank": 38, "rankvar": 1, "gr…
net.load_df(df['Mac-Mac'])
net.widget()
ExampleWidget(network='{"row_nodes": [{"name": "NUCB2", "ini": 60, "clust": 58, "rank": 32, "rankvar": 1, "gro…