Yang et al., 2017 - Google Patents
CMDR based differential evolution identifies the epistatic interaction in genome-wide association studiesYang et al., 2017
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- 6073591434156901183
- Author
- Yang C
- Chuang L
- Lin Y
- Publication year
- Publication venue
- Bioinformatics
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Snippet
Motivation Detecting epistatic interactions in genome-wide association studies (GWAS) is a computational challenge. Such huge numbers of single-nucleotide polymorphism (SNP) combinations limit the some of the powerful algorithms to be applied to detect the potential …
- 230000003993 interaction 0 title abstract description 81
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- G06F19/22—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for sequence comparison involving nucleotides or amino acids, e.g. homology search, motif or SNP [Single-Nucleotide Polymorphism] discovery or sequence alignment
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