| TCGA | The Cancer Genome Atlas |
| ICGC | International Cancer Genome Consortium |
| ML | Machine learning |
| SAMGSR | Gene-set analysis-based reduction algorithm |
| RRFE | Reweighted Recursive Feature Elimination |
| GELnet | Generalized Elastic Net |
| ESTs | Expressed Sequence Tags |
| ICA | Independent Component Analysis |
| PCA | Principal Component Analysis |
| NMF | Non-negative Matrix Factorization |
| HTS | High-Throughput Sequencing |
| SVM | Support Vector Machine |
| RF | Random Forest |
| ANFIS | Adaptive Neuro-Fuzzy Inference Systems |
| RIPPER | Repeated Incremental Pruning to Produce Error Reduction |
| PART | Partial Decision Trees |
| CAMUR | Classifier with Alternative and MUltiple Rule-based models |
| FURIA | Fuzzy Unordered Rule Induction Algorithm |
| MLRules | Maximum Likelihood Rule Ensembles |
| LERS | Learning from Examples based on Rough Sets |
| TSP | Top Scoring Pairs |
| k-TSP | k- Top Scoring Pairs |
| BIOHEL | Bioinformatics-oriented Hierarchical Evolutionary Learning |
| CN2-SD | Clark & Niblet–Subgroup Discovery |
| SDEFSR | Subgroup Discovery with Evolutionary Fuzzy Systems |
| VarSelRF | Variable Selection using Random Forests |
| SVM-RFE | Support Vector Machines–Recursive Feature Elimination |
| FPRF | fuzzy pattern–random forest |
| CART | Classification And Regression Tree |
| LASSO | Least Absolute Shrinkage and Selection Operator |
| Ridge | Tikhonov regularization |