This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 603
Type: Invited
Date/Time: Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
Sponsor: WNAR
Abstract - #306089
Title: Integrative Clustering of Multiple Genomic Data Types Using a Regularized Joint Latent Variable Model
Author(s): Ronglai Shen*+ and Adam B. Olshen and Sijian Wang
Companies: Memorial Sloan-Kettering Cancer Center and University of California, San Francisco and University of Wisconsin-Madison
Address: 307 East 63rd Street, Third Floor, New York, NY, 10065,
Keywords: Integrative Clustering ; Multiple genomic data types ; Joint latent variable model ; penalized likelihood approach ; EM algorithm

The NCI/NHGRI initiated Cancer Genome Atlas (TCGA) project is a coordinated effort to catalogue the entire spectrum of genomic, epigenomic and transcriptomic alterations in the cancer genome. The TCGA network is generating unprecedented multidimensional data using the latest array and sequencing technologies. We propose a joint latent variable model for integrating different "omic" data types in the same sets of tumors for the purpose of subtype analysis. The main concept is to formulate tumor subtypes as a set of latent variables underpinning the common source of variation across data types; and schematically, inducing a simultaneous dimension reduction for multiple high-dimensional correlated data sets. An independent error term is added to account for the within-data type variance-covariance structures. A regularized optimization scheme is carried out in the EM framework.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2010 program

2010 JSM Online Program Home

For information, contact or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.