Integration of GO annotations in Correspondence Analysis: facilitating the interpretation of microarray data | Zendy

Christian Busold | Zendy; S. Winter | Zendy; Nicole Hauser | Zendy; Andrea S. Bauer | Zendy; J. Dippon | Zendy; Jörg D. Hoheisel | Zendy; Kurt Fellenberg | Zendy

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Integration of GO annotations in Correspondence Analysis: facilitating the interpretation of microarray data

Author(s) -

Christian Busold,

S. Winter,

Nicole Hauser,

Andrea S. Bauer,

J. Dippon,

Jörg D. Hoheisel,

Kurt Fellenberg

Publication year - 2005

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/bti367

Subject(s) - computer science , annotation , interpretability , set (abstract data type) , context (archaeology) , gene annotation , software , data mining , interpretation (philosophy) , information retrieval , artificial intelligence , gene , biology , genetics , genome , programming language , paleontology

The functional interpretation of microarray datasets still represents a time-consuming and challenging task. Up to now functional categories that are relevant for one or more experimental context(s) have been commonly extracted from a set of regulated genes and presented in long lists.

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