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Gene microarray analysis using angular distribution decomposition

Abstract:

Clustering techniques have been widely used in the analysis of microarray data to group genes with similar expression profiles. The similarity of expression profiles and hence the results of clustering greatly depend on how the data has been transformed. We present a method that uses the relative expression changes between pairs of conditions and an angular transformation to define the similarity of gene expresion patterns. The pairwise comparisons of experimental conditions can be chosen to ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1089/cmb.2006.0098

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Plant Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Plant Sciences
Role:
Author
More from this funder
Name:
Engineering and Physical Sciences Research Council
Funding agency for:
Lees, K
More from this funder
Name:
Biotechnology and Biological Sciences Research Council
Publisher:
Mary Ann Liebert, Inc.
Journal:
Journal of Computational Biology More from this journal
Volume:
14
Issue:
1
Pages:
68-83
Publication date:
2007-03-01
DOI:
EISSN:
1557-8666
ISSN:
1066-5277
Language:
English
Keywords:
Subjects:
UUID:
uuid:9000fbd5-9793-4952-a185-5bf242e169ef
Local pid:
ora:5480
Deposit date:
2011-06-21

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