Open AccessEvaporative cooling feature selection for genotypic data involving interactions
Author(s) -
Brett A. McKinney,
David M. Reif,
Bill C. White,
James E. Crowe,
Jason H. Moore
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm317
Subject(s) - data mining , computer science , interaction information , feature selection , mutual information , epistasis , entropy (arrow of time) , computational biology , artificial intelligence , biology , genetics , statistics , mathematics , gene , physics , quantum mechanics
The development of genome-wide capabilities for genotyping has led to the practical problem of identifying the minimum subset of genetic variants relevant to the classification of a phenotype. This challenge is especially difficult in the presence of attribute interactions, noise and small sample size.