A feature selection method for classification within functional genomics experiments based on the proportional overlapping score-Reference-Cited by-同舟云学术

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A feature selection method for classification within functional genomics experiments based on the proportional overlapping score

Published:2014-08-11 Issue:1 Volume:15 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Mahmoud Osama,Harrison Andrew,Perperoglou Aris,Gul Asma,Khan Zardad,Metodiev Metodi V,Lausen Berthold

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/10.1186/1471-2105-15-274.pdf

Reference42 articles.

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2. Dramiński M, Rada‐Iglesias A, Enroth S, Wadelius C, Koronacki J, Komorowski J: Monte carlo feature selection for supervised classification. Bioinformatics. 2008, 24 (1): 110-117.

3. Marczyk M, Jaksik R, Polanski A, Polanska J: Adaptive filtering of microarray gene expression data based on gaussian mixture decomposition. BMC Bioinformatics. 2013, 14 (1): 101-

4. Tusher VG, Tibshirani R, Chu G: Significance analysis of microarrays applied to the ionizing radiation response. Proc Natl Acad Sci. 2001, 98 (9): 5116-5121.

5. Zou C, Gong J, Li H: An improved sequence based prediction protocol for dna‐binding proteins using svm and comprehensive feature analysis. BMC Bioinformatics. 2013, 14: 90-

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