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Probabilistic consistency analysis for gene selection

Abstract:

A great deal of recent research has focused on the problem of selecting differentially expressed genes from microarray data ('gene selection'). Recent theoretical work has shown that the effectiveness of a gene selection algorithm can be captured as a probability called 'selection accuracy'. Unfortunately, in practice, there tends to be relatively little known about the very features upon which selection accuracy depends, making it difficult to choose a suitable method. In this paper we prese...

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Publication status:
Published

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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Role:
Author
Pages:
487-488
Publication date:
2004-01-01
URN:
uuid:0ac8c08b-9da8-4365-8507-3e1338bd9572
Source identifiers:
63271
Local pid:
pubs:63271
ISBN:
0-7695-2194-0

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