A multifactor dimensionality reduction based associative classification for detecting SNP interactions
Identification and characterization of interactions between genes have been increasingly explored in current Genome-wide association studies (GWAS). Several machine learning and data mining approaches have been proposed to identify the multi-locus interactions in higher order genomic data. However,...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
Springer
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/32727 |