Associated Papers
Shared hotspot mutations in oncogenes position dogs as an unparalleled comparative model for precision therapeutics.
Rodrigues L et al.
Scientific Reports, 2023
37414794 (PubMed )
Supplement: 41598_2023_37505_MOESM5_ESM.xlsx › Table_S5
Enhancing oral squamous cell carcinoma prediction: the prognostic power of the worst pattern of invasion and the limited impact of molecular resection margins.
Hurník P et al.
Frontiers in Oncology, 2023
38188288 (PubMed )
Supplement: Table_5.xlsx › S5
Five Italian Families with Two Mutations in BRCA Genes.
Vietri MT et al.
Genes, 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
Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations.
Martelotto LG et al.
Genome Biology, 2014
25348012 (PubMed )
Supplement: 13059_2014_484_MOESM2_ESM.xlsx › Additional_file_2
Maternal and paternal lineage double heterozygosity alteration in familial breast cancer: a first case report.
Pilato B et al.
Breast Cancer Research and Treatment, 2010
Prevalence of BRCA1 and BRCA2 mutations in women diagnosed with ductal carcinoma in situ.
Claus EB et al.
Jama, 2005
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