Semi-supervised Ensemble Learning for Efficient Cancer Sample Classification from miRNA Gene Expression Data.
Dikme Chisil B. MarakAnindya HalderAnsuman KumarPublished in: New Gener. Comput. (2021)
Keyphrases
- gene expression
- gene expression data
- ensemble learning
- gene expression profiles
- cancer classification
- dna microarray
- microarray
- cancer diagnosis
- microarray data analysis
- gene selection
- regulatory networks
- gene regulation
- semi supervised
- microarray data
- generalization ability
- expression profiles
- random forest
- feature selection
- microarray datasets
- gene ontology
- gene regulatory networks
- unlabeled data
- high dimensionality
- gene sets
- high throughput
- supervised learning
- feature ranking
- support vector machine svm
- ensemble methods
- biological processes
- decision trees
- data sets
- classification accuracy
- feature extraction
- binding sites
- biological information
- biological networks
- text classification
- support vector machine
- feature vectors
- feature space
- high dimensional
- neural network
- molecular biology
- computational methods
- base classifiers
- machine learning methods
- multi label
- training samples
- semi supervised learning
- labeled data
- gene networks
- pattern recognition