Exploring phenotype-associated modules in an oral cavity tumor using an integrated framework | Zendy

Zhirong Sun | Zendy; Jie Luo | Zendy; Yun Zhou | Zendy; Junjie Luo | Zendy; Ke Liu | Zendy; Wenting Li | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Exploring phenotype-associated modules in an oral cavity tumor using an integrated framework

Author(s) -

Zhirong Sun,

Jie Luo,

Yun Zhou,

Junjie Luo,

Ke Liu,

Wenting Li

Publication year - 2009

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/btp057

Subject(s) - computer science , node (physics) , perspective (graphical) , similarity (geometry) , phenotype , computational biology , feature (linguistics) , oral cavity , data mining , gene , theoretical computer science , biology , artificial intelligence , medicine , genetics , physics , linguistics , philosophy , image (mathematics) , quantum mechanics , orthodontics

Like most human diseases, tumors are complex traits, the genesis and development of which recruit a number of genes and several important biological processes. As proteins involved in common processes tend to be centralized in the same local area of protein-protein interaction networks, here a novel framework has been developed to identify which areas of the networks are most relevant to a phenotype.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research