A comparative study of two matrix factorization methods applied to the classification of gene expression rate

Nikulin, Vladimir, Huang, Tian-Hsiang and McLachlan, Geoffrey J. (2010). A comparative study of two matrix factorization methods applied to the classification of gene expression rate. In: T. Park, L. Chen, L. Wong, S. Tsui, M. Ng and X. Hu, Proceedings of 2010 IEEE International Conference on Bioinformatics and Biomedicine. IEEE International Conference on Bioinformatics & Biomedicine, Hong Kong, (618-621). 18-21 December 2010.


Author Nikulin, Vladimir
Huang, Tian-Hsiang
McLachlan, Geoffrey J.
Title of paper A comparative study of two matrix factorization methods applied to the classification of gene expression rate
Conference name IEEE International Conference on Bioinformatics & Biomedicine
Conference location Hong Kong
Conference dates 18-21 December 2010
Proceedings title Proceedings of 2010 IEEE International Conference on Bioinformatics and Biomedicine
Place of Publication Los Alamitos, CA, U.S.A.
Publisher IEEE Computer Society
Publication Year 2010
Sub-type Fully published paper
ISBN 9781424483068
Editor T. Park
L. Chen
L. Wong
S. Tsui
M. Ng
X. Hu
Start page 618
End page 621
Total pages 4
Collection year 2011
Language eng
Abstract/Summary In microarray data analysis, dimension reduction is an important consideration in the construction of a successful classification algorithm. As an alternative to feature selection, we use a well-known matrix factorisation method. For example, we can employ the popular singular-value decomposition (SVD) or nonnegative matrix factorization. In this paper, we consider a novel algorithm for gradient-based matrix factorisation (GMF). We compare GMF and SVD in their application to five gene expression datasets. The experimental results show that our method is faster, more stable, and sensitive.
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Session 4: Cross-Cutting Computational Methods and Bioinformatics Infrastructure

Document type: Conference Paper
Collections: School of Mathematics and Physics
Official 2011 Collection
 
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Created: Tue, 22 Feb 2011, 16:18:16 EST by Kay Mackie on behalf of School of Mathematics & Physics