Associated Papers
DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data.
Liu J et al.
Genome Medicine, 2022
35209950 (PubMed )
Supplement: 13073_2022_1027_MOESM22_ESM.xls › Sheet1
Retrospective reinterpretation and reclassification of BRCA1/2 variants from Chinese population.
Li D et al.
Breast Cancer (tokyo, Japan), 2020
REVEL and BayesDel outperform other in silico meta-predictors for clinical variant classification.
Tian Y et al.
Scientific Reports, 2019
31484976 (PubMed )
Supplement: 41598_2019_49224_MOESM2_ESM.xlsx › Sheet1
A Bayesian framework for efficient and accurate variant prediction.
Qian D et al.
Plos One, 2018
30212499 (PubMed )
Supplement: pone.0203553.s008.xlsx › Variants
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