Network inference with Granger causality ensembles on single-cell transcriptomics

• Published in: Cell reports (Cambridge) Vol. 38; no. 6; p. 110333
• Main Authors: Deshpande, Atul, Chu, Li-Fang, Stewart, Ron, Gitter, Anthony
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 08.02.2022; Elsevier
• Subjects: Algorithms; Animals; Cell Differentiation - physiology; Computational Biology - methods; Gene Expression Profiling - methods; Gene Regulatory Networks - physiology; Mice; mouse embryonic stem cells; network evaluation; pseudotime; Software; time series analysis; transcriptional regulation; Transcriptome - physiology; time series analysis; mouse embryonic stem cells; pseudotime; transcriptional regulation; network evaluation

Cellular gene expression changes throughout a dynamic biological process, such as differentiation. Pseudotimes estimate cells’ progress along a dynamic process based on their individual gene expression states. Ordering the expression data by pseudotime provides information about the underlying regul...