A novel ensemble method for high-dimensional genomic data classification.
Alexandra EspichanEdwin VillanuevaPublished in: BIBM (2018)
Keyphrases
- ensemble methods
- genomic data
- high dimensional
- machine learning methods
- decision trees
- benchmark datasets
- gene expression data
- feature space
- ensemble classifier
- classification accuracy
- feature selection
- random forest
- high dimensionality
- text classification
- pattern recognition
- base classifiers
- machine learning
- image classification
- feature extraction
- high throughput
- machine learning algorithms
- feature subset
- classification models
- ensemble learning
- svm classifier
- prediction accuracy
- neural network
- feature set
- supervised learning
- support vector
- classification algorithm
- model selection
- nearest neighbor
- data points
- feature vectors
- biological data
- gene expression profiles
- data mining