Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignments.
Francisco M. Ortuño GuzmanOlga ValenzuelaBeatriz PrietoMaría José Saéz-LaraCarolina TorresHéctor PomaresIgnacio RojasPublished in: Neurocomputing (2015)
Keyphrases
- regression model
- machine learning
- multiple sequence alignments
- model selection
- regression methods
- protein sequences
- regression analysis
- explanatory variables
- decision trees
- regression trees
- multivariate regression
- natural language processing
- pairwise
- machine learning algorithms
- machine learning methods
- computational biology
- information extraction
- data analysis
- artificial intelligence
- text mining
- data mining
- graphical models
- target variable
- multiple linear regression