A novel riboswitch classification based on imbalanced sequences achieved by machine learning.
Solomon Shiferaw BeyeneTianyi LingBlagoj RistevskiMing ChenPublished in: PLoS Comput. Biol. (2020)
Keyphrases
- machine learning
- machine learning methods
- pattern recognition
- machine learning algorithms
- decision trees
- support vector machine
- automatic classification
- feature selection
- text classification
- image classification
- supervised classification
- supervised machine learning
- classification accuracy
- class imbalance
- classification models
- feature extraction
- supervised learning
- data analysis
- machine learning approaches
- active learning
- feature space
- model selection
- cost sensitive learning
- benchmark data sets
- imbalanced data
- classification scheme
- imbalanced datasets
- rule learning
- computational biology
- multi class problems
- svm classifier
- cost sensitive
- learning tasks
- classification rules
- classification method
- hidden markov models
- feature vectors
- support vector
- computer vision