Online Program Home
My Program

Abstract Details

Activity Number: 308
Type: Contributed
Date/Time: Tuesday, August 2, 2016 : 8:30 AM to 10:20 AM
Sponsor: Statistics Without Borders
Abstract #318709
Title: Integrative Analysis of Multi-Platform Genomics Data
Author(s): Shisi He* and Ao Yuan
Companies: Georgetown University and Georgetown University
Keywords: genomic data ; gene copy number ; methylation ; prediction ; protein ; SNP

In multi-platform genomic data analysis, multiple large sequences are observed from normal and abnormal subjects, and the sample sizes are relatively small. How to analyze such data jointly is challenging. Existing methods include the Lasso or graphical Lasso by selecting only small proportions of the data for the analysis, result in information loss and possible biases. Here we propose a new measure, the integrative correlation, to characterize the innate relationships within the sequences. The method takes the full data into the analysis and is very simple to use. Simulation studies will be conducted to evaluate the performance of the method, and a real multi-platform genomic data will be analyzed to illustrate the application.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2016 program

Copyright © American Statistical Association