Exploiting the ensemble paradigm for stable feature selection: A case study on high-dimensional genomic data.
Barbara PesNicoletta DessìMarta AngioniPublished in: Inf. Fusion (2017)
Keyphrases
- genomic data
- feature selection
- gene expression data
- high dimensional
- high dimensionality
- microarray data
- microarray
- high throughput
- dimensionality reduction
- feature space
- gene expression
- gene expression profiles
- biological data
- low dimensional
- gene selection
- mutual information
- feature ranking
- machine learning
- neural network
- experimental conditions
- high dimensional data
- support vector machine
- feature subset
- gene ontology
- data sets
- protein protein interactions
- microarray datasets
- data points
- feature extraction
- unsupervised learning
- computational methods
- model selection
- natural language processing
- binding sites
- knn
- training set