Deep metric learning for accurate protein secondary structure prediction.
Wei YangYang LiuChunjing XiaoPublished in: Knowl. Based Syst. (2022)
Keyphrases
- metric learning
- protein secondary structure prediction
- distance metric
- distance metric learning
- learning tasks
- protein secondary structure
- semi supervised
- dimensionality reduction
- machine learning and pattern recognition
- distance function
- pairwise
- multi task
- feature space
- subject to linear constraints
- mahalanobis metric
- mahalanobis distance
- machine learning
- feature extraction
- background knowledge
- maximum variance unfolding
- data mining