Feature selection and ensemble of regression models for predicting the protein macromolecule dissolution profile.
Varun Kumar OjhaKonrad JackowskiAjith AbrahamVáclav SnáselPublished in: NaBIC (2014)
Keyphrases
- regression model
- feature selection
- model selection
- ensemble learning
- regression analysis
- regression methods
- feature ranking
- text categorization
- support vector machine
- generalized linear models
- protein sequences
- classification accuracy
- ensemble classifier
- support vector regression
- linear model
- multivariate regression
- interval valued data
- feature set
- linear regression model
- machine learning
- support vector
- random forest
- prediction model
- regression trees
- dimensionality reduction
- classification models
- survival analysis
- protein protein interactions
- naive bayes
- ensemble methods
- text classification
- random forests
- feature subset
- generalized linear
- response variable
- neural network
- knn
- high dimensional
- multi task
- feature space
- multiple linear regression
- learning algorithm