Mirnacle: machine learning with SMOTE and random forest for improving selectivity in pre-miRNA ab initio prediction.
Yuri Bento MarquesAlcione de Paiva OliveiraAna Tereza Ribeiro de VasconcelosFabio Ribeiro CerqueiraPublished in: BMC Bioinform. (2016)
Keyphrases
- random forest
- machine learning
- decision trees
- imbalanced data
- gene expression
- secondary structure
- prediction accuracy
- ensemble methods
- protein structure prediction
- random forests
- computational methods
- gene ontology
- ensemble classifier
- fold cross validation
- machine learning methods
- gene sets
- feature set
- multi label
- genome wide
- cancer classification
- ensemble learning
- protein folding
- computational biology
- gene function
- microarray
- machine learning algorithms
- data analysis
- natural language processing
- information extraction
- support vector machine
- feature selection
- learning algorithm
- microarray data
- image classification
- supervised learning
- data mining