Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture.
Zutan LiJingya FangShining WangLiangyun ZhangYuanyuan ChenCong PianPublished in: Briefings Bioinform. (2022)
Keyphrases
- deep learning
- unsupervised feature learning
- unsupervised learning
- feature hierarchies
- reinforcement learning
- prior knowledge
- feature vectors
- learning process
- deep belief networks
- decision making
- higher order
- feature set
- deep architectures
- image features
- restricted boltzmann machine
- co occurrence
- object detection
- supervised learning
- machine learning
- active learning
- feature space
- object recognition
- learning algorithm