Biclustering of gene expression data using reactive greedy randomized adaptive search procedure-Reference-Cited by-同舟云学术

Biclustering of gene expression data using reactive greedy randomized adaptive search procedure

Published:2009-01 Issue:S1 Volume:10 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Dharan Smitha,Nair Achuthsankar S

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/1471-2105-10-S1-S27.pdf

Reference18 articles.

1. Madeira SC, Oliveira AL: Biclustering algorithms for biological data analysis: a survey. IEEE Trans Computational Biology and Bioinformatics. 2004, 1 (1): 24-48.

2. Hartigan JA: Direct clustering of a data matrix. 1972, The American Statistical Association, 67: 123-127.

3. Cheng Y, Church GM: Biclustering of gene expression data. Proceedings of the International Conference on Intelligent Systems for Molecular Biology. 2000, 8: 93-103.

4. Aguilar-Ruiz Jesus: Shifting and scaling patterns from gene expression data. Bioinformatics. 2005, 21 (20): 3840-3845.

5. Feo TA, Resende MGC: Greedy randomized adaptive search procedures. Global optimization. 1995, 6: 109-133.

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