Open AccessReconstructing gene regulatory networks in single-cell transcriptomic data analysis
Author(s) -
Hao Dai,
Qiqi Jin,
Li Lin,
Luonan Chen
Publication year - 2020
Publication title -
zoological research
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.933
H-Index - 19
ISSN - 2095-8137
DOI - 10.24272/j.issn.2095-8137.2020.215
Subject(s) - gene regulatory network , computational biology , transcriptome , gene , cell type , cell , biology , regulation of gene expression , biological network , gene expression , genetics
Gene regulatory networks play pivotal roles in our understanding of biological processes/mechanisms at the molecular level. Many studies have developed sample-specific or cell-type-specific gene regulatory networks from single-cell transcriptomic data based on a large amount of cell samples. Here, we review the state-of-the-art computational algorithms and describe various applications of gene regulatory networks in biological studies.