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CHAPTER 1
Microarray Data
Analysis Using
Machine Learning
Methods
†
Habtom W. Ressom*, Dilip Lakshman ,
§
‡
Song Joong Yun , Saroj K. Pramanik ,
and Benildo G. de los Reyes ¶
1.1 Introduction
With the popularity of genome studies in microbes, animals, and
plants, the potentiality of microarray technology is beginning to be
realized. Microarrays are increasingly used to study genomewide
changes in gene expression, genome organization, and chromatin
structure. Using this technology, we can now classify genes based on
their expression profiles, infer their physiological roles, and construct
databases of genes involved in specific functions.
Microarrays are being used to study developmental and coordi-
nated regulation of gene expression, gene activation, suppression
∗Lombardi Comprehensive Cancer Center, Georgetown University Medical Center,
Washington, DC.
† USDA-ARS, U.S. National Arboretum, Beltsville, MD.
‡ Institute of Agricultural Science and Technology, Chonbuk National University,
Chonju, Korea.
§ Department of Biology, Morgan State University, Baltimore, MD.
¶ Department of Biological Sciences, University of Maine, Orono, ME.
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