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Data-adaptive test statistics for microarray data.

Abstract:

MOTIVATION: An important task in microarray data analysis is the selection of genes that are differentially expressed between different tissue samples, such as healthy and diseased. However, microarray data contain an enormous number of dimensions (genes) and very few samples (arrays), a mismatch which poses fundamental statistical problems for the selection process that have defied easy resolution. RESULTS: In this paper, we present a novel approach to the selection of differentially expres...

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Publication status:
Published

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Journal:
Bioinformatics (Oxford, England)
Volume:
21 Suppl 2
Issue:
SUPPL. 2
Pages:
ii108-ii114
Publication date:
2005-09-01
DOI:
EISSN:
1367-4811
ISSN:
1367-4803
Source identifiers:
62492
Language:
English
Keywords:
Pubs id:
pubs:62492
UUID:
uuid:7d16627b-d14a-4717-ade6-2cf8cbe50a85
Local pid:
pubs:62492
Deposit date:
2012-12-19

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