Exploring the Stability of Feature Selection Methods across a Palette of Gene Expression Datasets-Reference-Cited by-同舟云学术

Exploring the Stability of Feature Selection Methods across a Palette of Gene Expression Datasets

Published:2019-11-13 Issue: Volume: Page:
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Container-title:Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering
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Author:

Mungloo-Dilmohamud Zahra¹,Jaufeerally-Fakim Yasmina²,Peña-Reyes Carlos³

Affiliation:

1. Department of DT, FoICDT, University of Mauritius, Reduit, Mauritius

2. Biotechnology Dept, FoA, University of Mauritius, Reduit, Mauritius

3. School of Business and Engineering Vaud (HEIG-VD), University of Applied Sciences Western Switzerland (HES-SO), Vaud, Switzerland

Publisher

ACM

Reference29 articles.

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5. Breitling R. Armengaud P. Amtmann A. and Herzyk P. 2004. Rank products: a simple yet powerful new method to detect differentially regulated genes in replicated microarray experiments. FEBS letters. 573 1--3 (Aug. 2004) 83--92. DOI:https://doi.org/10.1016/j.febslet.2004.07.055. Breitling R. Armengaud P. Amtmann A. and Herzyk P. 2004. Rank products: a simple yet powerful new method to detect differentially regulated genes in replicated microarray experiments. FEBS letters. 573 1--3 (Aug. 2004) 83--92. DOI:https://doi.org/10.1016/j.febslet.2004.07.055.

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