ScGET: Predicting Cell Fate Transition During Early Embryonic Development by Single-cell Graph Entropy.

ABSTRACT: During early embryonic development, cell fate commitment represents a critical transition or "tipping point" of embryonic differentiation, at which there is a drastic and qualitative shift of the cell populations. In this study, we presented a computational approach, scGET, to explore the gene-gene associations based on single-cell RNA sequencing (scRNA-seq) data for critical transition prediction. Specifically, by transforming the gene expression data to the local network entropy, the single-cell graph entropy (SGE) value quantitatively characterizes the stability and criticality of gene regulatory networks among cell populations and thus can be employed to detect the critical signal of cell fate or lineage commitment at the single-cell level. Being applied to five scRNA-seq datasets of e

SUBMITTER: Zhong J 

PROVIDER: S-EPMC8864248 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature