Inference of cell type-specific gene regulatory networks on cell lineages from single cell omic datasets

The uploaded files are source datasets for the scMTNI algorithm. scMTNI is a multi-task learning framework that integrates the cell lineage structure, scRNA-seq and scATAC-seq measurements to enable joint inference of cell type-specific GRNs. See more details at Preprint: https://biorxiv.org/cgi/content/short/2022.07.25.501350v1. The source data scMTNI_sourcedata.tar.gz contain the following 3 parts: 1) The cluster-specific scRNA-seq matrices and the prior networks for all three datasets and scMTNI inferred consensus networks. 2) Gold standard human and mouse datasets for evaluation. 3) Source data for scMTNI figures 2-8 and supplementary figures. The key for each figure and its corresponding file path is in SourceData_Key_v2.xlsx. The source data Buenrostro_Hematopoiesis.tar.gz contains the scRNA-seq data for human hematopoietic differentiation downloaded from Data S2 of Buenrostro et al.