Dr. Wang's research is motivated by large-scale complex data sets in recent genomic and familial studies and by important biological questions that emerge from the analysis of these data. Her current interests can be divided into two parts: 1) Development of methods and software for the accurate measurement of high-throughput genomic data; 2) Development and validation of statistical approaches and software for personalized cancer risk prediction. The two foci of her research lab are: 1) Cancer risk prediction models using TP53 mutation-associated Li-Fraumeni syndrome as a model; and 2) Tumor heterogeneity and evolution using computational deconvolution of both transcriptomic and genomic data.
Publications/Creative Works
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Affiliations
Training Grants
NLM Training Program in Biomedical Informatics & Data Science for Predoctoral and Postdoctoral Fellows
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