On a general method for matrix factorisation applied to supervised classification

Nikulin, Vladimir and McLachlan, Geoffrey J. (2009). On a general method for matrix factorisation applied to supervised classification. In: Jake Chen, Xin Chen, John Ely, Dilek Hakkani-Tr, Jing He, Hui-Huang Hsu, Li Liao, Chunmei Liu, Mihai Pop and Shoba Ranganathan, Proceedings 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops. 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, Washington, D.C., U.S.A., (44-49). 1-4 November 2009. doi:10.1109/BIBMW.2009.5332135


Author Nikulin, Vladimir
McLachlan, Geoffrey J.
Title of paper On a general method for matrix factorisation applied to supervised classification
Conference name 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops
Conference location Washington, D.C., U.S.A.
Conference dates 1-4 November 2009
Proceedings title Proceedings 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops
Journal name Bibmw: 2009 Ieee International Conference On Bioinformatics and Biomedicine Workshop
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2009
Sub-type Fully published paper
DOI 10.1109/BIBMW.2009.5332135
ISBN 9781424451210
Editor Jake Chen
Xin Chen
John Ely
Dilek Hakkani-Tr
Jing He
Hui-Huang Hsu
Li Liao
Chunmei Liu
Mihai Pop
Shoba Ranganathan
Start page 44
End page 49
Total pages 6
Collection year 2010
Language eng
Abstract/Summary We propose a general method for matrix factorization based on decomposition by parts. It can reduce the dimension of expression data from thousands of genes to several factors. Unlike classification and regression, matrix decomposition requires no response variable and thus falls into category of unsupervised learning methods. We demonstrate the effectiveness of this approach to the supervised classification of gene expression data.
Keyword Cross-validation
Gene expression data
Gradient-based optimisation
Matrix factorisation
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article # 5332135

 
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Created: Tue, 06 Apr 2010, 22:21:28 EST by Kay Mackie on behalf of School of Mathematics & Physics