A semi-supervised deep learning approach for predicting the functional effects of genomic non-coding variations.
Hao JiaSung-Joon ParkKenta NakaiPublished in: BMC Bioinform. (2021)
Keyphrases
- deep learning
- semi supervised
- unsupervised learning
- weakly supervised
- semi supervised learning
- machine learning
- supervised learning
- unsupervised feature learning
- unlabeled data
- deep architectures
- labeled data
- active learning
- mental models
- restricted boltzmann machine
- multi class
- pattern recognition
- decision making
- decision trees
- data sets