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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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Authors


Mukherjee, S More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
van der Laan, MJ More by this author
Journal:
Bioinformatics (Oxford, England)
Volume:
21 Suppl 2
Issue:
SUPPL. 2
Pages:
ii108-ii114
Publication date:
2005-09-05
DOI:
EISSN:
1367-4811
ISSN:
1367-4803
URN:
uuid:7d16627b-d14a-4717-ade6-2cf8cbe50a85
Source identifiers:
62492
Local pid:
pubs:62492

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