Exploring the functional landscape of gene expression: directed search of large microarray compendia | Zendy

Matthew Hibbs | Zendy; David Hess | Zendy; Chad L. Myers | Zendy; Curtis Huttenhower | Zendy; Kai Li | Zendy; Olga G. Troyanskaya | Zendy

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Exploring the functional landscape of gene expression: directed search of large microarray compendia

Author(s) -

Matthew Hibbs,

David Hess,

Chad L. Myers,

Curtis Huttenhower,

Kai Li,

Olga G. Troyanskaya

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/btm403

Subject(s) - compendium , context (archaeology) , microarray databases , computer science , set (abstract data type) , data mining , spell , cluster analysis , information retrieval , function (biology) , microarray analysis techniques , gene chip analysis , dna microarray , computational biology , biology , gene , gene expression , artificial intelligence , genetics , geography , paleontology , archaeology , sociology , anthropology , programming language

The increasing availability of gene expression microarray technology has resulted in the publication of thousands of microarray gene expression datasets investigating various biological conditions. This vast repository is still underutilized due to the lack of methods for fast, accurate exploration of the entire compendium.

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