Merging two gene-expression studies via cross-platform normalization | Zendy

Andrey A. Shabalin | Zendy; Håkon Tjelmeland | Zendy; Cheng Fan | Zendy; Charles M. Perou | Zendy; Andrew B. Nobel | Zendy

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Merging two gene-expression studies via cross-platform normalization

Author(s) -

Andrey A. Shabalin,

Håkon Tjelmeland,

Cheng Fan,

Charles M. Perou,

Andrew B. Nobel

Publication year - 2008

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/btn083

Subject(s) - normalization (sociology) , computer science , merge (version control) , cluster analysis , data mining , dna microarray , source code , database normalization , computational biology , gene , artificial intelligence , gene expression , information retrieval , biology , genetics , programming language , sociology , anthropology

Gene-expression microarrays are currently being applied in a variety of biomedical applications. This article considers the problem of how to merge datasets arising from different gene-expression studies of a common organism and phenotype. Of particular interest is how to merge data from different technological platforms.

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