An Efficient Nonlinear Regression Approach for Genome-Wide Detection of Marginal and Interacting Genetic Variations.
Seunghak LeeAurelie C. LozanoPrabhanjan KambadurEric P. XingPublished in: RECOMB (2015)
Keyphrases
- genome wide
- nonlinear regression
- human genome
- high throughput
- gene gene interactions
- complex diseases
- linear regression
- linkage disequilibrium
- single nucleotide polymorphisms
- support vector regression
- association studies
- biological data
- genome wide association studies
- decision trees
- low cost
- genetic variation
- support vector