Evaporative cooling feature selection for genotypic data involving interactions | Zendy

Brett A. McKinney | Zendy; David M. Reif | Zendy; Bill C. White | Zendy; James E. Crowe | Zendy; Jason H. Moore | Zendy

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Evaporative 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.

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