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Zoological Research
Kunming Institute of Zoology, Chinese Academy of Sciences
ISSN: 2095-8137
Vol. 41, No. 6, 2020, pp. 599-604
Bioline Code: zr20067
Full paper language: English
Document type: Review Article
Document available free of charge

Zoological Research, Vol. 41, No. 6, 2020, pp. 599-604

 en Reconstructing gene regulatory networks in single-cell transcriptomic data analysis
Dai, Hao; Jin, Qi-Qi; Li, Lin & Chen, Luo-Nan

Abstract

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.

Keywords
Gene regulatory network; Single-cell RNA sequencing; Computational algorithm; Sample-specific network; Cell-type-specific network; Cell-specific network

 
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Alternative site location: http://www.zoores.ac.cn/

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