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Activity Number: 418
Type: Contributed
Date/Time: Wednesday, August 9, 2006 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing
Abstract - #307040
Title: Canonical Parallel View and Adjustment for the Difference between Paired High-Dimensional Datasets
Author(s): Xuxin Liu*+
Companies: The University of North Carolina at Chapel Hill
Address: Department of Statistics and Operations Research, Chapel Hill, NC, 27599,
Keywords: microarray ; batch adjustment ; high dimensional low sample size ; parallel direction
Abstract:

High Dimensional, Low Sample Size data are emerging in a number of areas of science. A lot of them deal with the comparison between paired data sets. In this paper, we propose two directions in high dimensional space, the canonical parallel direction and the canonical orthogonal direction, which will show the difference between paired data sets in a noval and useful way. This parallel direction can also be used for linear adjustment of this difference. The view and adjustment for the NCI60 data set illustrate the good performance of this method.

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