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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-11-01
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Series: | BioData Mining |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13040-018-0186-4 |