JRmGRN: joint reconstruction of multiple gene regulatory networks with common hub genes using data from multiple tissues or conditions | Zendy

Wenping Deng | Zendy; Kui Zhang | Zendy; Sanzhen Liu | Zendy; Patrick X. Zhao | Zendy; Shizhong Xu | Zendy; Hairong Wei | Zendy

Open Access

JRmGRN: joint reconstruction of multiple gene regulatory networks with common hub genes using data from multiple tissues or conditions

Author(s) -

Wenping Deng,

Kui Zhang,

Sanzhen Liu,

Patrick X. Zhao,

Shizhong Xu,

Hairong Wei

Publication year - 2018

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/bty354

Subject(s) - gene regulatory network , computer science , data mining , gaussian , gene , algorithm , joint (building) , computational biology , biology , gene expression , genetics , architectural engineering , physics , quantum mechanics , engineering

Joint reconstruction of multiple gene regulatory networks (GRNs) using gene expression data from multiple tissues/conditions is very important for understanding common and tissue/condition-specific regulation. However, there are currently no computational models and methods available for directly constructing such multiple GRNs that not only share some common hub genes but also possess tissue/condition-specific regulatory edges.

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