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Component retention in principal component analysis with application to cDNA microarray data.

Abstract:
Shannon entropy is used to provide an estimate of the number of interpretable components in a principal component analysis. In addition, several ad hoc stopping rules for dimension determination are reviewed and a modification of the broken stick model is presented. The modification incorporates a test for the presence of an "effective degeneracy" among the subspaces spanned by the eigenvectors of the correlation matrix of the data set then allocates the total variance among subspaces. A summary of the performance of the methods applied to both published microarray data sets and to simulated data is given.
Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1186/1745-6150-2-2

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author



Publisher:
BioMed Central
Journal:
Biology direct More from this journal
Volume:
2
Pages:
2
Publication date:
2007-01-01
DOI:
EISSN:
1745-6150
ISSN:
1745-6150


Language:
English
UUID:
uuid:5295a419-d940-4081-840c-c8a40a129179
Local pid:
pubs:187908
Source identifiers:
187908
Deposit date:
2012-12-19

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