16 citations · 21 across the 12 of their papers we have counts for
4 papers · 1 filter
SNIP: An Adaptation of Sorted Neighborhood Methods for Deduplicating Pedigree Data
Theodore Huang, Matthew Ploenzke, Danielle Braun
Pedigree data contain family history information that is used to analyze hereditary diseases. These clinical data sets may contain duplicate records due to the same family visiting…
Statistical methods for Mendelian models with multiple genes and cancers
Jane W. Liang, Gregory E. Idos, Christine Hong +3
Risk evaluation to identify individuals who are at greater risk of cancer as a result of heritable pathogenic variants is a valuable component of individualized clinical management…
Prediction of Hereditary Cancers Using Neural Networks
Zoe Guan, Giovanni Parmigiani, Danielle Braun +1
Family history is a major risk factor for many types of cancer. Mendelian risk prediction models translate family histories into cancer risk predictions based on knowledge of cance…
Extending Models Via Gradient Boosting: An Application to Mendelian Models
Theodore Huang, Gregory Idos, Christine Hong +3
Improving existing widely-adopted prediction models is often a more efficient and robust way towards progress than training new models from scratch. Existing models may (a) incorpo…