Multi-Task Correlation-Based Feature Selection for Gene Expression Data.
Katherine E. BrownDouglas A. TalbertPublished in: AMIA (2018)
Keyphrases
- multi task
- gene expression data
- feature selection
- information gain
- microarray
- gene expression
- learning tasks
- microarray data
- high dimensionality
- multi class
- gene regulatory networks
- high dimensional
- transfer learning
- data sets
- gene selection
- learning problems
- gene expression profiles
- classification accuracy
- genomic data
- high dimensional data
- high throughput
- text categorization
- text classification
- mutual information
- active learning
- support vector
- dimensionality reduction
- supervised learning
- support vector machine
- pairwise
- pattern recognition
- machine learning