This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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427
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Type:
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Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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IMS
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Abstract - #307991 |
Title:
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Testing for Monotonic Changes in Multivariate Gene Expression Distributions
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Author(s):
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Heng Wang*+ and Dan Nettleton
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Companies:
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Iowa State University and Iowa State University
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Address:
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3414 Snedecor Hall, Ames, IA, 50011,
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Keywords:
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Gene sets ;
Order-restricted alternatives ;
small sample sizes ;
high-dimensional distributions
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Abstract:
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In this study, four procedures are proposed for detecting monotonic changes in multivariate gene expression distributions. We consider cases where the levels of a treatment factor are quantitative or can be ordered in some intuitive manner. The testing procedures are applied to detect gene sets that express monotonically in the sense that each dimension of the multivariate gene expression distribution is either increasing or decreasing with increasing treatment level. Our procedures are able to deal with small sample sizes and high-dimensional distributions. Our simulations show that the proposed methods for detecting monotonic changes perform better than two other popular testing methods which are designed for detecting more general changes in multivariate distributions.
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