American Statistical Association
In recent years, high-throughput array technologies have allowed investigations of genomic, epigenomic and transcriptomic alterations on a genome-wide scale. The Cancer Genome Atlas pilot project has recently published an evaluation of DNA copy number, gene expression and DNA methylation in a large set of glioblastomas. Integrative analysis of such multi-dimensional data sets pose new challenges for statisticians and bioinformaticians. In this talk, I will discuss a novel integrative clustering method whose purpose is tumor subtype discovery that utilizes both array CGH data and gene expression data. I will show how the proposed modeling framework can easily be extended to additional genomic data types.
|Date:||Wednesday, October 29, 2008|
|Time:||4:00 P.M. - 5:00 P.M.|
Memorial Sloan-Kettering Cancer Center
Department of Epidemiology and Biostatistics
307 East 63rd Street
(between First and Second Avenues)
3rd Floor Conference Room
New York, New York
Note: To gain access to the building, please follow the directions by the telephone in the foyer.