Associated Papers
Phenotypic evaluation of deep learning models for classifying germline variant pathogenicity.
Chow RD et al.
Npj Precision Oncology, 2024
39427061 (PubMed )
Supplement: 41698_2024_710_MOESM2_ESM.xlsx › S3
A pan-cancer analysis of synonymous mutations.
Sharma Y et al.
Nature Communications, 2019
31189880 (PubMed )
Supplement: 41467_2019_10489_MOESM5_ESM.xlsx › Data_S3_ClinVar___Cancer
Germline pathogenic variants of 11 breast cancer genes in 7,051 Japanese patients and 11,241 controls.
Momozawa Y et al.
Nature Communications, 2018
30287823 (PubMed )
Supplement: 41467_2018_6581_MOESM4_ESM.xlsx › SD1
Contributions of ATM mutations to familial breast and ovarian cancer.
Thorstenson YR et al.
Cancer Research, 2003
Select a paper to view details