Enriched Random Forest for High Dimensional Genomic Data.
Debopriya GhoshJavier CabreraPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2022)
Keyphrases
- random forest
- genomic data
- high dimensional
- gene expression data
- high throughput
- decision trees
- microarray
- biological data
- experimental conditions
- low dimensional
- microarray data
- gene expression
- high dimensional data
- high dimensionality
- feature set
- ensemble methods
- fold cross validation
- gene ontology
- dimensionality reduction
- gene expression profiles
- nearest neighbor
- feature space
- cancer classification
- multi label
- protein protein interactions
- data points
- gene selection
- genome wide
- naive bayes
- transcription factors
- neural network
- data sets
- base classifiers
- machine learning