Predicting disease-associated circular RNAs using deep forests combined with positive-unlabeled learning methods.
Xiangxiang ZengYue ZhongWei LinQuan ZouPublished in: Briefings Bioinform. (2020)
Keyphrases
- empirical studies
- learning process
- prior knowledge
- positive examples
- active learning
- significant improvement
- positive and negative
- unsupervised learning
- random forests
- learning tasks
- statistical methods
- hough transform
- background knowledge
- machine learning algorithms
- learning algorithm
- supervised learning
- reinforcement learning