Feature selection algorithm recommendation for gene expression data through gradient boosting and neural network metamodels.
Robert AduviriDaniel MatosEdwin VillanuevaPublished in: BIBM (2018)
Keyphrases
- gene expression data
- feature selection algorithms
- gradient boosting
- feature selection
- neural network
- data sets
- microarray data
- high dimensionality
- loss function
- gene expression
- microarray
- recommender systems
- cancer classification
- text classification
- feature subset
- gene selection
- collaborative filtering
- artificial neural networks
- classification accuracy
- feature set
- feature space
- support vector
- text categorization
- pattern recognition
- selection algorithm
- high dimensional data
- selected features
- cancer diagnosis
- genetic algorithm
- model selection
- support vector machine
- knn
- decision trees
- feature extraction
- feature ranking
- reinforcement learning