PractiCPP: a deep learning approach tailored for extremely imbalanced datasets in cell-penetrating peptide prediction.
Kexin ShiYuanpeng XiongYu WangYifan DengWenjia WangBingyi JingXin GaoPublished in: Bioinform. (2024)
Keyphrases
- deep learning
- imbalanced datasets
- prediction accuracy
- ensemble methods
- major histocompatibility complex
- unsupervised learning
- machine learning
- cost sensitive learning
- class distribution
- class imbalance
- mental models
- imbalanced data
- sampling methods
- decision trees
- weakly supervised
- data sets
- data mining
- training dataset
- cost sensitive
- similarity measure
- higher order
- natural language processing
- input image
- binding peptides
- support vector machine