Next generation sequencing and high density microarrays now enable the profiling of copy number changes in cancer at high resolution. I will talk about several statistical problems in the analysis of copy number.
One is the calling of copy number changes using next generation sequencing data. The second is obtaining sparse cross-sample summaries of copy number for downstream biomarker detection. I will show how these problems can be flexibly formulated using change-point models, and propose computationally scalable solutions.
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