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An Efficient Nonlinear Regression Approach for Genome-wide Detection of Marginal and Interacting Genetic Variations.
Seunghak Lee
Aurelie C. Lozano
Prabhanjan Kambadur
Eric P. Xing
Published in:
J. Comput. Biol. (2016)
Keyphrases
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genome wide
human genome
nonlinear regression
high throughput
gene gene interactions
complex diseases
linear regression
linkage disequilibrium
single nucleotide polymorphisms
association studies
genetic algorithm
microarray
data sets
support vector regression
least squares