Citation:
Zoe Guan, Giovanni Parmigiani, Danielle Braun, and Lorenzo Trippa. 2022. “Prediction of hereditary cancers using neural networks.” The Annals of Applied Statistics, 16, 1, Pp. 495–520.
BayesMendel Lab
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Recent Publications
- 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
- 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
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