Binary matrix factorization for analyzing gene expression data-Reference-Cited by-同舟云学术

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Binary matrix factorization for analyzing gene expression data

Published:2009-09-02 Issue:1 Volume:20 Page:28-52
ISSN:1384-5810
Container-title:Data Mining and Knowledge Discovery
language:en
Short-container-title:Data Min Knowl Disc

Author:

Zhang Zhong-Yuan,Li Tao,Ding Chris,Ren Xian-Wen,Zhang Xiang-Sun

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s10618-009-0145-2.pdf

Reference47 articles.

1. Ben-Dor A, Chor B, Karp R, Yakhini Z (2002) Discovering local structure in gene expression data: the order-preserving submatrix problem. In: RECOMB ’02: proceedings of the 6th annual international conference on computational biology. ACM, New York, pp 49–57

2. Berry M, Browne M, Langville A, Pauca P, Plemmons R (2007) Algorithms and applications for approximate nonnegative matrix factorization. Comput Stat Data Anal 52(1): 155–173

3. Brunet J-P, Tamayo P, Golub TR, Mesirov JP (2004) Metagenes and molecular pattern discovery using matrix factorization. Proc Natl Acad Sci USA 101(12): 4164–4169

4. Carmona-Saez P, Pascual-Marqui RD, Tirado F, Carazo JM, Pascual-Montano A (2006) Biclustering of gene expression data by non-smooth non-negative matrix factorization. BMC Bioinformatics 7(1): 78

5. Chee M, Yang R, Hubbell E, Berno A, Huang X, Stern D, Winkler J, Lockhart D, Morris M, Fodor S (1996) Accessing genetic information with high density DNA arrays. Science 274: 610–614

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