3 papers
stat.ME2021
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…
stat.AP2020
PanelPRO: A R package for multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer
Gavin Lee, Qing Zhang, Jane W. Liang +4
Identifying individuals who are at high risk of cancer due to inherited germline mutations is critical for effective implementation of personalized prevention strategies. Most exis…
stat.CO2017
Sparse matrix linear models for structured high-throughput data
Jane W. Liang, Saunak Sen
Recent technological advancements have led to the rapid generation of high-throughput biological data, which can be used to address novel scientific questions in broad areas of res…