Gene selection for microarray cancer classification using a new evolutionary method employing artificial intelligence concepts

Published 2017 View Full Article

Authors

Keywords

Gene selection, Cancer classification, Microarray data analysis, Intelligent Dynamic Algorithm, Random-restart hill climbing, Reinforcement learning, Penalizing strategy, Cut and splice crossover, Self-refinement strategy, Feature selection

Journal

GENOMICS

Volume 109, Issue 2, Pages 91-107

Publisher

Elsevier BV

Online

2017-02-02

DOI

10.1016/j.ygeno.2017.01.004

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started