Statistics and Data Science Seminar
Prof. Hongmei Jiang
Northwestern University
Statistical issues in cancer-related copy number profiling
Abstract: Copy number changes, either amplification or deletion of DNA
materials, have been linked with cancer and other diseases.
High-throughput DNA arrays enable simultaneous measurements of copy
number on the genome-wide level. Given the intensity measurements from a
single sample, methodologies and algorithms based on diverse techniques
such as Hidden Markov Models, binary segmentation, and mixture models,
have been developed to divide the genome into segments or regions of
equal copy number. In this talk we will discuss how to find regions of
recurrent gains or losses of DNA fragments across multiple cancer
samples; how to identify chromosome regions which are associated with
clinical variables such as relapse and survival outcome. The methods
will be demonstrated on a liver cancer data set.
Wednesday April 21, 2010 at 3:00 PM in SEO 636