TSGSIS: a high-dimensional grouped variable selection approach for detection of whole-genome SNP-SNP interactions.
Yao-Hwei FangJie-Huei WangChao A. HsiungPublished in: Bioinform. (2017)
Keyphrases
- variable selection
- single nucleotide polymorphisms
- high dimensional
- linear models
- input variables
- cross validation
- dimension reduction
- complex diseases
- group lasso
- model selection
- high dimensional data
- genome wide
- dimensionality reduction
- feature selection
- statistical methods
- low dimensional
- copy number
- singular value decomposition
- high dimensionality
- nearest neighbor
- computational approaches
- neural network
- microarray data
- clustering method
- genetic programming
- least squares
- data points
- clustering algorithm
- gene gene interactions
- sparsity inducing