| AI | Artificial intelligence |
| ALS | Amyotrophic lateral sclerosis |
| API | Application programming interface |
| CDG | Congenital disorders of glycosylation |
| CDWs | Clinical data warehouses |
| CFML | Characteristic feature mining algorithm |
| CNVs | Copy number variants |
| COG | Conserved oligomeric Golgi |
| CSAX | characterizing systematic anomalies in expression data |
| CTs | Clinical trials |
| CVID | Common variable immunodeficiency |
| DABLC | Dic-Att-BiLSTM-CRF |
| DeepPVP | Deep phenomeNET variant predictor |
| (D)DSS | (Diagnosis) decision support systems |
| eDIVA | Exome disease variant analysis |
| HER | Electronic health records |
| GA | Golgi apparatus |
| GPP | Glycosylation prediction program |
| HANRD | Heterogeneous association network for rare diseases |
| HHT | Hereditary hemorrhagic telangiectasia |
| IBM | Inclusion body myositis |
| IR | Infrared |
| isGPT | identification of sub-Golgi protein types |
| LSDs | Lysossomal storage diseases |
| ML | Machine learning |
| MPS II | Mucopolysaccharidosis type II |
| NER | Named entities recognition |
| NGS | Next generation sequencing |
| NLP | Natural language processing |
| NN | Neural network |
| PCA | Principal component analysis |
| PH | Pulmonary hypertension |
| QMR | Quick Medical Reference |
| RDAD | Rare disease auxiliary diagnosis system |
| RDs | Rare diseases |
| R&D | Research and development |
| RF | Random forest |
| SilVA | Silent variant analyzer |
| SLE | Stroke-like episodes |
| SNPs | Single nucleotide polymorphisms |
| SNVs | Single nucleotide variants |
| SS | Synovial sarcoma |
| SVM | Support vector machine |
| URSAHD | Unveiling RNA sample annotation for human diseases |
| VarCoPP | Variant combinations pathogenicity predictor |
| VEST | Variant effect scoring tool |
| WES | Whole-exome sequencing |
| WGS | Whole genome sequencing |