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. 2019 Nov 27;10(12):978. doi: 10.3390/genes10120978
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