Systematic construction of gene coexpression networks with applications to human T helper cell differentiation process | Zendy

Laura L. Elo | Zendy; Henna Järvenpää | Zendy; Matej Orešič | Zendy; Riitta Lahesmaa | Zendy; Tero Aittokallio | Zendy

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Systematic construction of gene coexpression networks with applications to human T helper cell differentiation process

Author(s) -

Laura L. Elo,

Henna Järvenpää,

Matej Orešič,

Riitta Lahesmaa,

Tero Aittokallio

Publication year - 2007

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/btm309

Subject(s) - cutoff , process (computing) , computer science , gene regulatory network , microarray analysis techniques , data mining , computational biology , biology , gene , machine learning , gene expression , genetics , physics , quantum mechanics , operating system

Coexpression networks have recently emerged as a novel holistic approach to microarray data analysis and interpretation. Choosing an appropriate cutoff threshold, above which a gene-gene interaction is considered as relevant, is a critical task in most network-centric applications, especially when two or more networks are being compared.

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