A Comparative Study of Gene Selection Methods for Microarray Cancer Classification-Reference-Cited by-同舟云学术

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A Comparative Study of Gene Selection Methods for Microarray Cancer Classification

Published:2019 Issue: Volume: Page:585-595
ISSN:1876-1100
Container-title:Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015)
language:
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Author:

Alshamlan Hala,Badr Ghada,Alohali Yousef

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-1799-6_60

Reference36 articles.

1. Ghorai, S., Mukherjee, A., Sengupta, S., Dutta, P.: Multicategory cancer classification from gene expression data by multiclass nppc ensemble. In: 2010 International Conference on Systems in Medicine and Biology (ICSMB), pp. 4–48 (2010)

2. Sheng-Bo, G., Michael, L., Ming, L.: Gene selection based on mutual information for the classification of multi-class cancer. In: Proceedings of the 2006 International Conference on Computational Intelligence and Bioinformatics, pp. 454–463 (2006)

3. Fu, L.M., Fu-Liu, C.S.: Multi-class cancer subtype classification based on gene expression signatures with reliability analysis. FEBS Lett. 561(13), 186–190 (2004)

4. Yu, H., Xu, S.: Simple rule-based ensemble classifiers for cancer DNA microarray data classification. In: 2011 Inter-national Conference on Computer Science and Service System (CSSS), pp. 2555–2558 (2011)

5. Narendra, P., Fukunaga, K.: A branch and bound algorithm for feature subset selection. IEEE Trans. Comput. 26(9), 917–922 (1977)

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