Multiple-input multiple-output causal strategies for gene selection-Reference-Cited by-同舟云学术

Multiple-input multiple-output causal strategies for gene selection

Published:2011-11-25 Issue:1 Volume:12 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Bontempi Gianluca,Haibe-Kains Benjamin,Desmedt Christine,Sotiriou Christos,Quackenbush John

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/10.1186/1471-2105-12-458.pdf

Reference58 articles.

1. Saeys Y, Inza I, Larranaga P: A review of feature selection techniques in bioinformatics. Bioinformatics 2007, 23: 2507–2517. 10.1093/bioinformatics/btm344

2. Guyon I, Elisseeff A: An introduction to variable and feature selection. Journal of Machine Learning Research 2003, 3: 1157–1182.

3. Shipley B: Cause and Correlation in Biology. Cambridge University Press; 2000.

4. Guyon I, Aliferis C, Elisseeff A: Computational Methods of Feature Selection. Chapman and Hall; 2007:63–86. chap. Causal Feature Selection chap. Causal Feature Selection

5. Bontempi G, Meyer P: Causal filter selection in microarray data. In Proceedings of the 27th International Conf. on Machine Learning. Morgan Kaufmann, San Francisco, CA; 2010.

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