Query-driven module discovery in microarray data | Zendy

Thomas Dhollander | Zendy; Qizheng Sheng | Zendy; Karen Lemmens | Zendy; Bart De Moor | Zendy; Kathleen Marchal | Zendy; Yves Moreau | Zendy

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Query-driven module discovery in microarray data

Author(s) -

Thomas Dhollander,

Qizheng Sheng,

Karen Lemmens,

Bart De Moor,

Kathleen Marchal,

Yves Moreau

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/btm387

Subject(s) - microarray databases , computer science , microarray analysis techniques , data mining , information retrieval , database , computational biology , biology , gene , gene expression , genetics

Existing (bi)clustering methods for microarray data analysis often do not answer the specific questions of interest to a biologist. Such specific questions could be derived from other information sources, including expert prior knowledge. More specifically, given a set of seed genes which are believed to have a common function, we would like to recruit genes with similar expression profiles as the seed genes in a significant subset of experimental conditions.

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