Tumor radiogenomics in gliomas with Bayesian layered variable selection.
Shariq MohammedSebastian KurtekKarthik BharathArvind RaoVeerabhadran BaladandayuthapaniPublished in: Medical Image Anal. (2023)
Keyphrases
- variable selection
- brain tumors
- low grade gliomas
- cross validation
- input variables
- high dimensional
- model selection
- linear models
- dimension reduction
- mr images
- maximum likelihood
- group lasso
- magnetic resonance images
- magnetic resonance
- breast cancer
- statistical inference
- feature selection
- high dimensional data
- sparsity inducing
- regression model
- medical image analysis
- principal component analysis
- supervised learning
- semi supervised
- preprocessing
- bayesian networks