SHINE: protein language model-based pathogenicity prediction for short inframe insertion and deletion variants is a research paper published in Briefings in Bioinformatics (2022). On theSindex it has a DataRank of 0. It has been cited 11 times.
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National Institutes of Health
Grant: R01GM120609
NHGRI NIH HHS
Grant: K99 HG011490
NHGRI NIH HHS
Grant: R00 HG011490
National Institutes of Health
Grant: 5R01GM120609-03
Integrate cancer genomics data in genetic studies and diagnosis of developmental disorders
National Institutes of Health
Grant: 1K99HG011490-01A1
New quantitative approaches to interpret variant pathogenicity
Columbia University Precision Medicine Joint Pilot Grants Program
FWCI
1.51
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals