Title: "Statistical Issues in Using MALCI-Mass Spectrometry Data to Identify Disease Biomarkers"

Speaker: Hongyu Zho (Yale, Biostatistics)

When/where: Wednesday, January 14th, 4:15PM, 200 AKW

Abstract: Mass Spectrometry (MS) is a biotechnology that holds great promise for biomarker identification and genome-wide protein profiling. It has been demonstrated in the literature that biomarkers can be identified to distinguish normal individuals from cancer patients using MS data acquired on serum. Such progress is especially exciting for the detection of various human diseases. Although many statistical methods have been utilized to identify biomarkers from JS data, many issues remain in the analysis of MS data. In this talk, we will discuss statistical issues, both data pre-processing and classification, involved in the use of MS data to identify disease biomarkers and illustrate these issues through a data set consisting of ovarian cancer Detection Program clinic at Northwestern University Hospital. This is joing work with Baolin Wu, Tom Abbott, Walter McMurray, Gil Mor, Kathryn Stone, David Ward, and Kenneth Williams at Yale and David Fishman at Northwestern University.