Differential network analysis of multiple human tissue interactomes highlights tissue-selective processes and genetic disorder genes | Zendy

Omer Basha | Zendy; Chanan M Argov | Zendy; Raviv Artzy | Zendy; Yazeed Zoabi | Zendy; Idan Hekselman | Zendy; Liad Alfandari | Zendy; Vered ChalifaCaspi | Zendy; Esti YegerLotem | Zendy

Open Access

Differential network analysis of multiple human tissue interactomes highlights tissue-selective processes and genetic disorder genes

Author(s) -

Omer Basha,

Chanan M Argov,

Raviv Artzy,

Yazeed Zoabi,

Idan Hekselman,

Liad Alfandari,

Vered ChalifaCaspi,

Esti YegerLotem

Publication year - 2020

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btaa034

Subject(s) - gene regulatory network , computational biology , biology , biological network , benchmark (surveying) , differential (mechanical device) , gene , computer science , genetics , gene expression , geodesy , aerospace engineering , engineering , geography

Differential network analysis, designed to highlight network changes between conditions, is an important paradigm in network biology. However, differential network analysis methods have been typically designed to compare between two conditions and were rarely applied to multiple protein interaction networks (interactomes). Importantly, large-scale benchmarks for their evaluation have been lacking.

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