Reconstructing gene regulatory networks in single-cell transcriptomic data analysis

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, w...

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Detalles Bibliográficos
Autores principales: Dai, Hao, Jin, Qi-Qi, Li, Lin, Chen, Luo-Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Science Press 2020
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671911/
https://www.ncbi.nlm.nih.gov/pubmed/33124218
http://dx.doi.org/10.24272/j.issn.2095-8137.2020.215
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author Dai, Hao
Jin, Qi-Qi
Li, Lin
Chen, Luo-Nan
author_facet Dai, Hao
Jin, Qi-Qi
Li, Lin
Chen, Luo-Nan
author_sort Dai, Hao
collection PubMed
description 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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spelling pubmed-76719112020-11-20 Reconstructing gene regulatory networks in single-cell transcriptomic data analysis Dai, Hao Jin, Qi-Qi Li, Lin Chen, Luo-Nan Zool Res Review 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. Science Press 2020-11-18 /pmc/articles/PMC7671911/ /pubmed/33124218 http://dx.doi.org/10.24272/j.issn.2095-8137.2020.215 Text en Editorial Office of Zoological Research, Kunming Institute of Zoology, Chinese Academy of Sciences http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Dai, Hao
Jin, Qi-Qi
Li, Lin
Chen, Luo-Nan
Reconstructing gene regulatory networks in single-cell transcriptomic data analysis
title Reconstructing gene regulatory networks in single-cell transcriptomic data analysis
title_full Reconstructing gene regulatory networks in single-cell transcriptomic data analysis
title_fullStr Reconstructing gene regulatory networks in single-cell transcriptomic data analysis
title_full_unstemmed Reconstructing gene regulatory networks in single-cell transcriptomic data analysis
title_short Reconstructing gene regulatory networks in single-cell transcriptomic data analysis
title_sort reconstructing gene regulatory networks in single-cell transcriptomic data analysis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671911/
https://www.ncbi.nlm.nih.gov/pubmed/33124218
http://dx.doi.org/10.24272/j.issn.2095-8137.2020.215
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AT chenluonan reconstructinggeneregulatorynetworksinsinglecelltranscriptomicdataanalysis

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