Journal article
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:
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(Preview, Version of record, pdf, 914.3KB, Terms of use)
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- Publisher copy:
- 10.1186/1745-6150-2-2
Authors
+ National Science Foundation
More from this funder
- Funding agency for:
- Goriely, A
- Grant:
- DMS-DMS-IGMS-0623989
- Publisher:
- BioMed Central
- Journal:
- Biology direct More from this journal
- Volume:
- 2
- Pages:
- 2
- Publication date:
- 2007-01-01
- DOI:
- EISSN:
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1745-6150
- ISSN:
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1745-6150
- Language:
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English
- UUID:
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uuid:5295a419-d940-4081-840c-c8a40a129179
- Local pid:
-
pubs:187908
- Source identifiers:
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187908
- Deposit date:
-
2012-12-19
Terms of use
- Copyright holder:
- Cangelosi and Goriely
- Copyright date:
- 2007
- Notes:
- © 2007 Cangelosi and Goriely; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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