Journal
JOURNAL OF BIOMEDICAL INFORMATICS
Volume 40, Issue 6, Pages 787-802Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jbi.2007.06.005
Keywords
gene expression data analysis; data mining; knowledge-based data mining; gene association; classification; gene networks
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The field of gene expression data analysis has grown in the past few years from being purely data-centric to integrative, aiming at complementing microarray analysis with data and knowledge from diverse available sources. In this review, we report on the plethora of gene expression data mining techniques and focus on their evolution toward knowledge-based data analysis approaches. In particular, we discuss recent developments in gene expression-based analysis methods used in association and classification studies, phenotyping and reverse engineering of gene networks. (C) 2007 Elsevier Inc. All rights reserved.
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