GO-Mapper: functional analysis of gene expression data using the expression level as a score to evaluate Gene Ontology terms | Zendy

Marcel Smid | Zendy; Lambert C. J. Dorssers | Zendy

Open Access

GO-Mapper: functional analysis of gene expression data using the expression level as a score to evaluate Gene Ontology terms

Author(s) -

Marcel Smid,

Lambert C. J. Dorssers

Publication year - 2004

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/bth293

Subject(s) - computer science , expression (computer science) , ontology , gene ontology , serial analysis of gene expression , gene expression , data mining , microarray analysis techniques , gene , computational biology , gene expression profiling , biology , genetics , philosophy , epistemology , programming language

Retrieval of information on biological processes from large-scale expression data is still a time-consuming task. An automated analysis utilizing all expression information would greatly increase our understanding of the samples under study.

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