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Interaction-based transcriptome analysis via differential network inference
Leng, Jiacheng1,2; Wu, Ling-Yun1,2
2022-10-21
发表期刊BRIEFINGS IN BIOINFORMATICS
ISSN1467-5463
页码11
摘要Gene-based transcriptome analysis, such as differential expression analysis, can identify the key factors causing disease production, cell differentiation and other biological processes. However, this is not enough because basic life activities are mainly driven by the interactions between genes. Although there have been already many differential network inference methods for identifying the differential gene interactions, currently, most studies still only use the information of nodes in the network for downstream analyses. To investigate the insight into differential gene interactions, we should perform interaction-based transcriptome analysis (IBTA) instead of gene-based analysis after obtaining the differential networks. In this paper, we illustrated a workflow of IBTA by developing a Co-hub Differential Network inference (CDN) algorithm, and a novel interaction-based metric, pivot APC2. We confirmed the superior performance of CDN through simulation experiments compared with other popular differential network inference algorithms. Furthermore, three case studies are given using colorectal cancer, COVID-19 and triple-negative breast cancer datasets to demonstrate the ability of our interaction-based analytical process to uncover causative mechanisms.
关键词differential network inference differential expression analysis interaction-based transcriptome analysis
DOI10.1093/bib/bbac466
收录类别SCI
语种英语
资助项目National Key Research and Development Program of China[2020YFA0712402] ; National Natural Science Foundation of China[12231018]
WOS研究方向Biochemistry & Molecular Biology ; Mathematical & Computational Biology
WOS类目Biochemical Research Methods ; Mathematical & Computational Biology
WOS记录号WOS:000871525600001
出版者OXFORD UNIV PRESS
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/60762
专题应用数学研究所
通讯作者Wu, Ling-Yun
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
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GB/T 7714
Leng, Jiacheng,Wu, Ling-Yun. Interaction-based transcriptome analysis via differential network inference[J]. BRIEFINGS IN BIOINFORMATICS,2022:11.
APA Leng, Jiacheng,&Wu, Ling-Yun.(2022).Interaction-based transcriptome analysis via differential network inference.BRIEFINGS IN BIOINFORMATICS,11.
MLA Leng, Jiacheng,et al."Interaction-based transcriptome analysis via differential network inference".BRIEFINGS IN BIOINFORMATICS (2022):11.
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