Citation:
Theodore Huang, Gregory Idos, Christine Hong, Stephen Gruber, Giovanni Parmigiani, and Danielle Braun. 2021. “Extending Models Via Gradient Boosting: An Application to Mendelian Models.” arXiv preprint arXiv:2105.06559.
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Recent Publications
- Variation in cancer risk among families with genetic susceptibility
- Prediction of Hereditary Cancers Using Neural Networks
- Statistical approaches for meta-analysis of genetic mutation prevalence
- Extending Models Via Gradient Boosting: An Application to Mendelian Models
- Disease spectrum of gastric cancer susceptibility genes
- Familial pancreatic cancer: who should be considered for genetic testing?
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