NDLI: On Determination of Minimum Sample Size for Discovery of Temporal Gene Expression Patterns

Content Provider	IEEE Xplore Digital Library
Author	Fang-Xiang Wu Zhang, W.J. Kusalik, A.J.
Copyright Year	2006
Description	Author affiliation: Dept. of Mech. Eng., Saskatchewan Univ., Saskatoon, Sask. (Fang-Xiang Wu; Zhang, W.J.)
Abstract	DNA microarray technologies allow for the simultaneous monitoring of thousands of genes, which reveal important information about cellular and tissue expression phenotypes. From a viewpoint of data analysis, microarray experiments may be classified into (1) classification of patients or non-patients or more subtypes in terms of gene expressions, (2) discovery of gene expression patterns over a set of different conditions, and (3) discovery of gene expression patterns for one same tissue over a series of time points while the underlying biological process evolves. An important feature with this class of problems is dependency among gene expression data corresponding to time points. One of the important issues is the specification of time points, including (1) the number of time points, and (2) the span between time points. We have developed a method for the determination of the minimum sample size (or the minimum number of time points) for temporal gene expression, assuming that the span between time points is given and the hierarchical clustering technique is used for gene expression pattern discovery. The method has been verified with two previously published gene expression datasets; specifically for both experiments, the number of time points determined with our method is less than that in these experiments. Although at present our method employed the hierarchical clustering technique, the overall idea of the method is applicable to other clustering techniques
Sponsorship	STEMES/IMSCCS Conference, USA The University of Iowa, USA Zhejing Univ., China Harbin Eng. Univ., China
Starting Page	96
Ending Page	103
File Size	250142
Page Count	8
File Format	PDF
ISBN	0769525814
DOI	10.1109/IMSCCS.2006.95
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Patient monitoring Data analysis Biological tissues Biological processes Biology computing Gene expression Biomedical monitoring Mechanical engineering Biomedical engineering
Content Type	Text
Resource Type	Article

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