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Drought Stress-Related Gene Identification in Rice by Random Walk with Restart on Multiplex Biological Networks

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成果类型:
期刊论文
作者:
Zhu, Liu;Zhang, Hongyan;Cao, Dan;Xu, Yalan;Li, Lanzhi;...
通讯作者:
Hongyan Zhang
作者机构:
[Zhang, Hongyan; Xu, Yalan; Zhu, Lei; Ning, Zilan; Zhu, Liu] Hunan Agr Univ, Coll Informat & Intelligence, Changsha 410128, Peoples R China.
[Zhang, Hongyan; Li, Lanzhi] Hunan Agr Univ, Hunan Engn & Technol Res Ctr Agr Big Data Anal & D, Changsha 410128, Peoples R China.
[Cao, Dan] Cent South Univ Forestry & Technol, Coll Sci, Changsha 410004, Peoples R China.
通讯机构:
[Hongyan Zhang] H
Hunan Engineering and Technology Research Center for Agricultural Big Data Analysis and Decision-Making, Hunan Agricultural University, Changsha 410128, China<&wdkj&>College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China<&wdkj&>Author to whom correspondence should be addressed.
语种:
英文
关键词:
rice;protein–protein interaction;coexpression network;drought stress gene;random walk with restart
期刊:
Agriculture-Basel
ISSN:
2077-0472
年:
2023
卷:
13
期:
1
页码:
53-
基金类别:
Conceptualization, H.Z. and L.Z. (Liu Zhu); methodology, H.Z., L.Z. (Liu Zhu) and Y.X.; software, L.Z. (Liu Zhu) and Y.X.; validation, H.Z., D.C., Z.N. and L.L.; formal analysis, L.Z. (Liu Zhu) and L.Z. (Lei Zhu); investigation, H.Z. and L.Z. (Liu Zhu); resources, H.Z. and D.C.; data curation, L.Z. (Liu Zhu) and Y.X.; writing—original draft preparation, H.Z., L.Z. (Liu Zhu) and Y.X.; writing—review and editing, H.Z., D.C., L.Z. (Lei Zhu), Z.N. and L.L.; visualization, H.Z. and L.Z. (Liu Zhu); supervision, H.Z.; project administration, H.Z.; funding acquisition, H.Z., D.C., L.Z. (Lei Zhu) and L.L. All authors have read and agreed to the published version of the manuscript. This research was funded by the Natural Science Foundation of Hunan Province, grant numbers 2021JJ30351, 2020JJ4039, and 2022JJ40190 and the Scientific Research Foundation of Education Office of Hunan Province, grant number 21C0133.
机构署名:
本校为其他机构
院系归属:
理学院
摘要:
Drought stress-related gene identification is vital in revealing the drought resistance mechanisms underlying rice and for cultivating rice-resistant varieties. Traditional methods, such as Genome-Wide Association Studies (GWAS), usually identify hundreds of candidate stress genes, and further validation by biological experiements is then time-consuming and laborious. However, computational and prioritization methods can effectively reduce the number of candidate stress genes. This study introduces a random walk with restart algorithm (RWR), a state-of-the-art guilt-by-association method, to o...

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