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
Evolutionary origin of germline pathogenic variants in human DNA mismatch repair genes.
Lei H et al.
Human Genomics, 2024
38287404 (PubMed )
Supplement: 40246_2024_573_MOESM3_ESM.xls › MSH2
Integration of deep learning with Ramachandran plot molecular dynamics simulation for genetic variant classification.
Tam B et al.
Iscience, 2023
36879825 (PubMed )
Supplement: mmc2.xlsx › MSH2
DNA Mismatch Repair Gene Variants in Sporadic Solid Cancers.
Caja F et al.
International Journal of Molecular Sciences, 2020
32756484 (PubMed )
Supplement: ijms-21-05561-s001.zip › SNP_2.0_final.xls › MSH2
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
Lynch syndrome mutation spectrum in New South Wales, Australia, including 55 novel mutations.
Sjursen W et al.
Molecular Genetics & Genomic Medicine, 2016
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