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
Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.
Reza MN et al.
Scientific Reports, 2021
34584144 (PubMed )
Supplement: 41598_2021_98547_MOESM1_ESM.zip › Supplementary_files-5-8-21 › Supplementary_file_2.xlsx › Sheet1
Alignment-free method for functional annotation of amino acid substitutions: Application on epigenetic factors involved in hematologic malignancies.
Gemović B et al.
Plos One, 2021
33395407 (PubMed )
Supplement: pone.0244948.s001.pdf
Unexpected cancer-predisposition gene variants in Cowden syndrome and Bannayan-Riley-Ruvalcaba syndrome patients without underlying germline PTEN mutations.
Yehia L et al.
Plos Genetics, 2018
29684080 (PubMed )
Supplement: pgen.1007352.s010.xlsx › S9_Table
Contribution of germline mutations in cancer predisposition genes to tumor etiology in young women diagnosed with invasive breast cancer.
Rummel SK et al.
Breast Cancer Research and Treatment, 2017
Patterns and functional implications of rare germline variants across 12 cancer types.
Lu C et al.
Nature Communications, 2015
26689913 (PubMed )
Supplement: ncomms10086-s13.xlsx › supplementary_data_12
Potentially functional SNPs (pfSNPs) as novel genomic predictors of 5-FU response in metastatic colorectal cancer patients.
Wang J et al.
Plos One, 2014
25372392 (PubMed )
Supplement: pone.0111694.s006.pdf
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