Score datasources
uwaga
This page is for development only and not part of the public documentation.
Name | Full Name | Link | Comment |
---|---|---|---|
BayesDel_addAF | BayesDel with allele frequency | link | Bayesian framework using allele frequencies for variant prediction |
BayesDel_noAF | BayesDel without allele frequency | link | Variant effect score without allele frequency input |
CADD | Combined Annotation Dependent Depletion | link | Integrates multiple annotations into a single deleteriousness score |
DANN | Deleterious Annotation of genetic variants using Neural Networks | link | Deep neural network-based pathogenicity score |
Eigen | Eigen score | link | Unsupervised learning on functional annotations |
Eigen_PC | Eigen score with principal components | link | PCA-normalized version of Eigen |
FATHMM_MKL | Functional Analysis through Hidden Markov Models | link | Uses multiple kernel learning on functional data |
MetaRNN | Meta Recurrent Neural Network | link | RNN-based ensemble method for variant classification |
MetaSVM | Meta Support Vector Machine | link | Ensemble score using SVM on functional features |
PrimateAI | PrimateAI | link | Deep learning score using primate sequences to model constraint |
PROVEAN | Protein Variation Effect Analyzer | link | Measures functional impact of protein sequence variation |
REVEL | Rare Exome Variant Ensemble Learner | link | Ensemble method optimized for rare missense variants |
Sift | Sorting Intolerant From Tolerant | link | Predicts whether amino acid changes affect protein function |
Sift4G | SIFT 4 Genomes | link | Faster and more scalable version of SIFT |
Vest4 | Variant Effect Scoring Tool 4 | link | Machine learning-based variant impact predictor |
ClinPred | Clinical Prediction of variant pathogenicity | link | Classifies variants using clinical features |
GERP RS | Genomic Evolutionary Rate Profiling RS | link | Measures evolutionary conservation of genomic positions |
gMVP | Genomic Mutation Vulnerability Predictor | link | Neural network trained on ClinVar and gnomAD annotations |
Name | Full Name | Link | Comment |
---|---|---|---|
ADA | Adaptive Boosting Splice Site Score | link | Uses ensemble learning (AdaBoost) to predict splice-altering variants |
RF | Random Forest Splice Site Score | link | Random forest classifier trained to predict splicing disruption |
SpliceAI | Splicing Artificial Intelligence | link | Deep neural network predicting splicing from raw sequence |