A Nonlinear Mixture Model based Unsupervised Variable Selection in Genomics and Proteomics.
Ivica KoprivaPublished in: BIOINFORMATICS (2015)
Keyphrases
- variable selection
- cross validation
- input variables
- high dimensional
- stochastic search
- linear models
- model selection
- dimension reduction
- group lasso
- supervised learning
- unsupervised learning
- semi supervised
- number of input variables
- data analysis
- dimensionality reduction
- nearest neighbor
- nonlinear regression
- logistic regression models
- machine learning