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This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 286
Type: Contributed
Date/Time: Tuesday, July 31, 2007 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract - #309043
Title: Comparing Various Designs of Temporal Microarray Experiments
Author(s): Yijun Yang*+ and Paola Sebastiani
Companies: Boston University and Boston University
Address: 16 Walnut St Apt 42, Arlington, MA, 02476,
Keywords: time series ; gene expression ; clustering
Abstract:

Common temporal gene expression studies consist of a number of unevenly spaced observations that are often replicated to average out biological and sampling variability. Due to the high cost of microarray experiments, duplication of the same time point experiments are often chosen at the price of the sampling frequency. The sampling frequency is important to capture the essential dynamics of the data generation process and to increase the power to identify interesting genes with similar expression profiles. We conducted a simulation study to investigate the effect of replicating microarray experiments compared to increasing the sampling frequency, and we determined the minimum number of time points for recovering true number of clusters. CAGED (cluster analysis of gene expression dynamics) was used for clustering the simulated gene expression data.


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Revised September, 2007