def loopThroughEachState(all_genes_TPM):
### Import all genes with TPM values for all cells
matrix, column_header, row_header, dataset_name, group_db = clustering.importData(
all_genes_TPM)
group_index = {}
all_indexes = []
for sampleName in group_db:
ICGS_state = group_db[sampleName][0]
try:
group_index[ICGS_state].append(column_header.index(sampleName))
except Exception:
group_index[ICGS_state] = [column_header.index(sampleName)]
all_indexes.append(column_header.index(sampleName))
for ICGS_state in group_index:
group_index[ICGS_state].sort()
all_indexes.sort()
expressionData = matrix, column_header, row_header, dataset_name, group_db
return all_indexes, group_index, expressionData
def importQueryDataset(fn):
matrix, column_header, row_header, dataset_name, group_db = clustering.importData(
fn)
return matrix, column_header, row_header, dataset_name, group_db