| GDA | Generative Data Augmentation |
| GDA-Pred | GDA-Prediction system |
| IL-6 | Interleukin-6 |
| IL-13 | Interleukin-13 |
| ACP | Anticancer Peptide |
| AIP | Anti-Inflammatory Peptide |
| Th-2 | T-helper 2 |
| Th17 | T-helper 17 |
| ML | Machine Learning |
| DL | Deep Learning |
| GAN | Generative Adversarial Network |
| DM | Diffusion Model |
| VAE | Variational AutoEncoder |
| SMOTE | Synthetic Minority Oversampling Technique |
| KDE | Kernel Density Estimation |
| LGBM | Light Gradient Boosting Machine |
| XGB | eXtreme Gradient Boosting |
| RF | Random Forest |
| SVM | Support Vector Machine |
| LR | Logistic Regression |
| NB | Naive Bayes |
| KNN | k-Nearest Neighbor |
| CNN | Convolutional Neural Network |
| LSTM | Long Short-Term Memory |
| KL | Kullback–Leibler |
| NW | Needleman–Wunsch |
| NW-RR | NW-based redundancy removal |
| PIR | Performance Increase Ratio |
| AR | Augmentation Ratio |
| PT | Probability Threshold |
| SEN | Sensitivity |
| SPE | Specificity |
| PRE | Precision |
| MCC | Matthews correlation coefficient |
| AUC | Area Under Curve |
| UMAP | Uniform Manifold Approximation and Projection |