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
Comprehensive germline and somatic profiling of high-risk Thai breast cancer via next-generation sequencing.
Kamdee K et al.
Scientific Reports, 2025
40181060 (PubMed )
Supplement: 41598_2025_95834_MOESM2_ESM.xlsx › S._Data_2.
Identification of potentially actionable genetic variants in epithelial ovarian cancer: a retrospective cohort study.
Fieuws C et al.
Npj Precision Oncology, 2024
38519644 (PubMed )
Supplement: 41698_2024_565_MOESM1_ESM.pdf
Germline mutations of 4567 patients with hereditary breast-ovarian cancer spectrum in Thailand.
Kansuttiviwat C et al.
Npj Genomic Medicine, 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
SpliceVault predicts the precise nature of variant-associated mis-splicing.
Dawes R et al.
Nature Genetics, 2023
36747048 (PubMed )
Supplement: 41588_2022_1293_MOESM3_ESM.xlsx › Table_2_RNA_studies__n_58_
A Comprehensive Evaluation of the Performance of Prediction Algorithms on Clinically Relevant Missense Variants.
Qorri E et al.
International Journal of Molecular Sciences, 2022
35887294 (PubMed )
Supplement: ijms-23-07946-s001.zip › Supplementary_Table_S3.xlsx › BRCA1_Dataset
Comparison of in silico strategies to prioritize rare genomic variants impacting RNA splicing for the diagnosis of genomic disorders.
Rowlands C et al.
Scientific Reports, 2021
34663891 (PubMed )
Supplement: 41598_2021_99747_MOESM2_ESM.xlsx › Table-S1-modified
Blood RNA analysis can increase clinical diagnostic rate and resolve variants of uncertain significance.
Wai HA et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2020
32123317 (PubMed )
Supplement: 41436_2020_766_MOESM3_ESM.xlsx › Variant_summary
Classification of variants of uncertain significance in BRCA1 and BRCA2 using personal and family history of cancer from individuals in a large hereditary cancer multigene panel testing cohort.
Li H et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2020
31853058 (PubMed )
Supplement: 41436_2019_729_MOESM2_ESM.xls › Sheet1
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
Accurate classification of BRCA1 variants with saturation genome editing.
Findlay GM et al.
Nature, 2018
30209399 (PubMed )
Supplement: NIHMS1501643-supplement-2.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
Exome sequencing covers >98% of mutations identified on targeted next generation sequencing panels.
LaDuca H et al.
Plos One, 2017
28152038 (PubMed )
Supplement: pone.0170843.s003.xlsx › S3_Table
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