EFS: an ensemble feature selection tool implemented as R-package and web-application-Reference-Cited by-同舟云学术

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EFS: an ensemble feature selection tool implemented as R-package and web-application

Published:2017-06-27 Issue:1 Volume:10 Page:
ISSN:1756-0381
Container-title:BioData Mining
language:en
Short-container-title:BioData Mining

Author:

Neumann Ursula,Genze Nikita,Heider Dominik

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Genetics,Molecular Biology,Biochemistry

Link

http://link.springer.com/content/pdf/10.1186/s13040-017-0142-8.pdf

Reference20 articles.

1. Dybowski JN, Heider D, Hoffmann D. Structure of hiv-1 quasi-species as early indicator for switches of co-receptor tropism. AIDS Res Ther. 2010; 7:41.

2. Pyka M, Hahn T, Heider D, Krug A, Sommer J, Kircher T, Jansen A. Baseline activity predicts working memory load of preceding task condition. Hum Brain Mapp. 2013; 34(11):3010–22.

3. Jain A, Zongker D. Feature selection: evaluation, application, and small sample performance. IEEE Trans Pattern Anal Mach Intell. 1997; 19(2):153–8.

4. He Z, Yu W. Stable feature selection for biomarker discovery. Comput Biol Chem. 2010; 34:215–25.

5. Yang YHY, Xiao Y, Segal MR. Identifying differentially expressed genes from microarray experiments via statistic synthesis. Bioinformatics. 2004; 21(7):1084–93.

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