Improving stability and understandability of genotype-phenotype mapping in Saccharomyces using regularized variable selection in L-PLS regression.
Tahir MehmoodJonas WarringerLars SnipenSolve SæbøPublished in: BMC Bioinform. (2012)
Keyphrases
- variable selection
- partial least squares
- dimension reduction
- genotype phenotype
- model selection
- ls svm
- input variables
- sparsity inducing
- cross validation
- regression model
- high dimensional
- group lasso
- principal component analysis
- gene expression programming
- feature extraction
- singular value decomposition
- genomic data
- structured sparsity
- cluster analysis
- linear discriminant analysis
- high dimensional data
- feature space
- feature selection
- high dimensionality
- data sets
- human genome
- least squares
- clustering algorithm
- sparse regression
- genetic algorithm
- data mining