TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments.
Lifan ChenXiaoqin TanDingyan WangFeisheng ZhongXiaohong LiuTianbiao YangXiaomin LuoKaixian ChenHualiang JiangMingyue ZhengArne ElofssonPublished in: Bioinform. (2020)
Keyphrases
- deep learning
- protein interaction
- attention mechanism
- protein protein interactions
- gene expression
- computational methods
- machine learning
- biological data
- unsupervised learning
- gene ontology
- mental models
- visual attention
- biomedical literature
- systems biology
- biological systems
- weakly supervised
- high throughput
- microarray
- feature selection
- network topology
- binding sites