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
Prevalence of germline pathogenic variants in 22 cancer susceptibility genes in Swedish pediatric cancer patients.
von Stedingk K et al.
Scientific Reports, 2021
33674644 (PubMed )
Supplement: 41598_2021_84502_MOESM2_ESM.xlsx › S10_All_Variants
Gene panel screening for insight towards breast cancer susceptibility in different ethnicities.
Bishop MR et al.
Plos One, 2020
32866190 (PubMed )
Supplement: pone.0238295.s002.xlsx › S2_Table
Identifying sequence variants contributing to hereditary breast and ovarian cancer in BRCA1 and BRCA2 negative breast and ovarian cancer patients.
Jarhelle E et al.
Scientific Reports, 2019
A research-based gene panel to investigate breast, ovarian and prostate cancer genetic risk.
Bishop MR et al.
Plos One, 2019
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