Comprehensive-GWAS: a pipeline for genome-wide association studies utilizing cross-validation to assess the predictivity of genetic variations.
Gabrielle DagassoYan YanLipu WangLonghai LiRandy KutcherWentao ZhangLingling JinPublished in: BIBM (2020)
Keyphrases
- genome wide association studies
- cross validation
- genome wide
- model selection
- complex diseases
- biological data
- human genome
- gene gene interactions
- variable selection
- training set
- support vector
- high throughput
- risk factors
- single nucleotide polymorphisms
- sample size
- database
- statistical methods
- upper bound
- feature vectors
- data mining