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1 June 2006 Some Statistical Issues in Microarray Gene Expression Data
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Abstract

Mayo, M. S., Gajewski, B. J. and Morris, J. S. Some Statistical Issues in Microarray Gene Expression Data. Radiat. Res. 165, 745–748 (2006).

In this paper we discuss some of the statistical issues that should be considered when conducting experiments involving microarray gene expression data. We discuss statistical issues related to preprocessing the data as well as the analysis of the data. Analysis of the data is discussed in three contexts: class comparison, class prediction and class discovery. We also review the methods used in two studies that are using microarray gene expression to assess the effect of exposure to radiofrequency (RF) fields on gene expression. Our intent is to provide a guide for radiation researchers when conducting studies involving microarray gene expression data.

Matthew S. Mayo, Byron J. Gajewski, and Jeffrey S. Morris "Some Statistical Issues in Microarray Gene Expression Data," Radiation Research 165(6), (1 June 2006). https://doi.org/10.1667/RR3576.1
Received: 24 February 2006; Accepted: 1 March 2006; Published: 1 June 2006
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