pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.
I am wondering if this is the normal estimated time for object with this size because i have read in the issues that it takes 24hours for an object with 100k cells.
#first on a big matrix which I canceled
Loaded expression matrix of 372267 cells and 24823 genes in 139.33977007865906 seconds...
Loaded 1892 TFs...
starting grnboost2 using 30 processes...
1%| | 285/24823 [10:48:58<991:01:15, 145.39s/it]
I am wondering if this is the normal estimated time for object with this size because i have read in the issues that it takes 24hours for an object with 100k cells.