meth-SemiCancer: a cancer subtype classification framework via semi-supervised learning utilizing DNA methylation profiles.
Joungmin ChoiChaelin ParkHeejoon ChaePublished in: BMC Bioinform. (2023)
Keyphrases
- semi supervised learning
- supervised learning
- semi supervised classification
- semi supervised
- co training
- improve the classification accuracy
- unsupervised learning
- manifold regularization
- unlabeled data
- multiple kernel learning
- labeled and unlabeled data
- regularization framework
- semi supervised learning setting
- transductive support vector machine
- classification accuracy
- semi supervised learning algorithms
- labeled data
- machine learning
- discriminative models
- colon cancer
- boosting framework
- text classification
- multiple instance learning
- training data
- cancer diagnosis
- training set
- feature space
- pattern recognition
- multi view learning
- unlabeled samples
- multi view
- active learning
- learning models
- transfer learning
- machine learning algorithms
- label propagation
- support vector
- gene expression
- feature extraction
- decision trees
- information extraction
- feature selection
- data sets