Associated Papers
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.
Ahmad RM et al.
Briefings in Bioinformatics, 2025
41263939 (PubMed )
Supplement: supplementary_materials_bbaf611_1_.zip › Supplementary_materials_bbaf611 › Supplementary_Table_S8.xlsx › Sheet1
Combining full-length gene assay and SpliceAI to interpret the splicing impact of all possible SPINK1 coding variants.
Wu H et al.
Human Genomics, 2024
DNA repair function scores for 2172 variants in the BRCA1 amino-terminus.
Diabate M et al.
Plos Genetics, 2023
37578980 (PubMed )
Supplement: pgen.1010739.s013.xlsx › Sheet1
Characterization of BRCA1-deficient premalignant tissues and cancers identifies Plekha5 as a tumor metastasis suppressor.
Liu J et al.
Nature Communications, 2020
32978388 (PubMed )
Supplement: 41467_2020_18637_MOESM5_ESM.xlsx › Bulk
Accurate classification of BRCA1 variants with saturation genome editing.
Findlay GM et al.
Nature, 2018
30209399 (PubMed )
Supplement: NIHMS1501643-supplement-2.xlsx › Sheet1
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