Citation:
Sining Chen, Wenyi Wang, Karl W Broman, Hormuzd A Katki, and Giovanni Parmigiani. 2004. “BayesMendel: an R environment for Mendelian risk prediction.” Statistical applications in genetics and molecular biology, 3, 1, Pp. 1–19.
BayesMendel Lab
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Recent Publications
- MyLynch: A Patient-Facing Clinical Decision Support Tool for Genetically-Guided Personalized Medicine in Lynch Syndrome
- SNIP: An adaptation of sorted neighborhood methods for deduplicating pedigree data
- Meta-Analysis of Breast Cancer Risk for Individuals with PALB2 Pathogenic Variants
- Clinical implications of conflicting variant interpretations in the cancer genetics clinic
- Bayesian Meta-Analysis of Penetrance for Cancer Risk
- Variant-specific Mendelian Risk Prediction Model
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