An improved random forest-based computational model for predicting novel miRNA-disease associations.
Dengju YaoXiaojuan ZhanChee-Keong KwohPublished in: BMC Bioinform. (2019)
Keyphrases
- benchmark datasets
- computational model
- random forest
- ensemble methods
- gene sets
- gene function
- fold cross validation
- gene expression
- computational methods
- gene ontology
- secondary structure
- genome wide
- computational models
- regulatory networks
- microarray
- decision trees
- binding sites
- cancer classification
- base classifiers
- differentially expressed genes
- feature set
- microarray data
- gene expression data
- statistical significance
- association rules
- gene selection
- gene regulatory networks
- high throughput
- multi label
- biological systems
- dna sequences
- feature space