COGENT: evaluating the consistency of gene co-expression networks | Zendy

Lyuba V. Bozhilova | Zendy; Javier Pardo-Diaz | Zendy; Gesine Reinert | Zendy; Charlotte M. Deane | Zendy

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COGENT: evaluating the consistency of gene co-expression networks

Author(s) -

Lyuba V. Bozhilova,

Javier Pardo-Diaz,

Gesine Reinert,

Charlotte M. Deane

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/btaa787

Subject(s) - consistency (knowledge bases) , expression (computer science) , set (abstract data type) , computer science , data mining , gene co expression network , co occurrence , data set , gene expression , information retrieval , gene , artificial intelligence , biology , programming language , genetics , gene ontology

Gene co-expression networks can be constructed in multiple different ways, both in the use of different measures of co-expression, and in the thresholds applied to the calculated co-expression values, from any given dataset. It is often not clear which co-expression network construction method should be preferred. COGENT provides a set of tools designed to aid the choice of network construction method without the need for any external validation data.

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