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 |