StackCPPred: a stacking and pairwise energy content-based prediction of cell-penetrating peptides and their uptake efficiency.
Xiangzheng FuLijun CaiXiangxiang ZengQuan ZouPublished in: Bioinform. (2020)
Keyphrases
- pairwise
- major histocompatibility complex
- prediction accuracy
- binding peptides
- prediction algorithm
- prediction error
- prediction model
- energy consumption
- loss function
- image retrieval
- semi supervised
- multi class
- amino acids
- artificial neural networks
- computational complexity
- similarity measure
- higher order
- image segmentation
- combining multiple
- pairwise constraints
- tandem mass spectra