Transition-transversion encoding and genetic relationship metric in ReliefF feature selection improves pathway enrichment in GWAS

Transition-transversion encoding and genetic relationship metric in ReliefF feature selection improves pathway enrichment in GWAS

Abstract Background ReliefF is a nearest-neighbor based feature selection algorithm that efficiently detects variants that are important due to statistical interactions or epistasis. For categorical predictors, like genotypes, the standard metric used in ReliefF has been a simple (binary) mismatch d...

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Bibliographic Details
Main Authors: M. Arabnejad, B. A. Dawkins, W. S. Bush, B. C. White, A. R. Harkness, B. A. McKinney
Format: Article
Language:English
Published: BMC 2018-11-01
Series:BioData Mining
Subjects:
Machine learning
Feature selection
Genome-wide association study (GWAS)
Genetic relationship matrix (GRM)
Transition and transversion
Online Access:http://link.springer.com/article/10.1186/s13040-018-0186-4

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http://link.springer.com/article/10.1186/s13040-018-0186-4

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