A genetic filter for cancer classification on gene expression data

Yong-Hyuk Kim; Yourim Yoon

doi:10.3233/BME-151503

A genetic filter for cancer classification on gene expression data

Biomed Mater Eng. 2015:26 Suppl 1:S1993-2002. doi: 10.3233/BME-151503.

Authors

Yong-Hyuk Kim¹, Yourim Yoon²

Affiliations

¹ Department of Computer Science & Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 139-701, Republic of Korea.
² Department of Computer Engineering, College of Information Technology, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do 461-701, Republic of Korea.

PMID: 26405975
DOI: 10.3233/BME-151503

Abstract

We present a new genetic filter to identify a predictive gene subset for cancer-type classification on gene expression profiles. This approach pursues to not only maximize correlation between selected genes and cancer types but also minimize inter-correlation among selected genes. The proposed genetic filter was tested on well-known leukemia datasets, and significant improvement over previous work was obtained.

Keywords: Gene selection; cancer classification; filter method; gene expression data; genetic algorithm.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Artificial Intelligence*
Gene Expression Profiling*
Gene Expression Regulation, Leukemic*
Humans
Leukemia / genetics*
Transcriptome