Tabu Search and Binary Particle Swarm Optimization for Feature Selection Using Microarray Data-Reference-Cited by-同舟云学术

Tabu Search and Binary Particle Swarm Optimization for Feature Selection Using Microarray Data

Published:2009-12 Issue:12 Volume:16 Page:1689-1703
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Chuang Li-Yeh¹,Yang Cheng-Huei²,Yang Cheng-Hong³

Affiliation:

1. Department of Chemical Engineering, I-Shou University, Kaohsiung, Taiwan.

2. Department of Electronic Communication Engineering, National Kaohsiung Marine University, Kaohsiung, Taiwan.

3. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan, and Department of Network Systems, Toko University, Chiayi, Taiwan.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2007.0211

Reference50 articles.

1. MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia

2. Using mutual information for selecting features in supervised neural net learning

3. Instance-based concept learning from multiclass DNA microarray data

4. Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses

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