CGI: a new approach for prioritizing genes by combining gene expression and protein–protein interaction data | Zendy

Xiaotu Ma | Zendy; Hyunju Lee | Zendy; Li Wang | Zendy; Fengzhu Sun | Zendy

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CGI: a new approach for prioritizing genes by combining gene expression and protein–protein interaction data

Author(s) -

Xiaotu Ma,

Hyunju Lee,

Li Wang,

Fengzhu Sun

Publication year - 2006

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/btl569

Subject(s) - gene , phenotype , computational biology , ranking (information retrieval) , set (abstract data type) , computer science , expression (computer science) , candidate gene , genetics , biology , data mining , artificial intelligence , programming language

Identifying candidate genes associated with a given phenotype or trait is an important problem in biological and biomedical studies. Prioritizing genes based on the accumulated information from several data sources is of fundamental importance. Several integrative methods have been developed when a set of candidate genes for the phenotype is available. However, how to prioritize genes for phenotypes when no candidates are available is still a challenging problem.

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