Bayesian variable selection for binary outcomes in high-dimensional genomic studies using non-local priors.
Amir NikooienejadWenyi WangValen E. JohnsonPublished in: Bioinform. (2016)
Keyphrases
- variable selection
- high dimensional
- cross validation
- input variables
- single nucleotide polymorphisms
- dimension reduction
- linear models
- model selection
- low dimensional
- group lasso
- high dimensional data
- high dimensionality
- machine learning
- maximum likelihood
- nearest neighbor
- bayesian networks
- high throughput
- computational approaches
- neural network
- bayesian framework
- microarray data
- support vector machine
- learning algorithm
- number of input variables