Discovery of Salivary Gland Tumors' Biomarkers via Co-Regularized Sparse-Group Lasso.
Sultan ImangaliyevJohannes H. MatseJan G. M. BolscherRuud H. BrakenhoffDavid T. W. WongElisabeth BloemenaEnno C. I. VeermanEvgeni LevinPublished in: DS (2017)
Keyphrases
- group lasso
- sparsity inducing
- regression model
- variable selection
- structured sparsity
- efficient optimization
- multiple kernel learning
- contingency tables
- mixed norm
- multi task
- multi label learning
- regularization term
- low rank
- convex optimization
- multi task learning
- breast cancer
- high dimensional
- regression problems
- linear models
- prostate cancer
- regularized least squares
- semi supervised
- feature selection
- binary classification
- cross validation
- model selection
- supervised learning
- total least squares
- cost function
- pattern discovery