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Reconstructing gene regulatory networks in single-cell transcriptomic data analysis.
Dai, Hao; Jin, Qi-Qi; Li, Lin; Chen, Luo-Nan.
Afiliação
  • Dai H; Key Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
  • Jin QQ; Institute of Brain-Intelligence Technology, Zhangjiang Laboratory, Shanghai 201210, China.
  • Li L; Key Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
  • Chen LN; University of Chinese Academy of Sciences, Beijing 100049, China.
Zool Res ; 41(6): 599-604, 2020 Nov 18.
Article em En | MEDLINE | ID: mdl-33124218
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.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Simulação por Computador / Análise de Sequência de RNA / Redes Reguladoras de Genes / Modelos Genéticos Limite: Animals Idioma: En Revista: Zool Res Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Simulação por Computador / Análise de Sequência de RNA / Redes Reguladoras de Genes / Modelos Genéticos Limite: Animals Idioma: En Revista: Zool Res Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China