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2013 IEEE 13th International Conference on Data Mining Workshops (2006)
Hong Kong, China
Dec. 18, 2006 to Dec. 22, 2006
ISBN: 0-7695-2702-7
pp: 196-201
Haixia Li , Genome Institute of Singapore
R. Krishna Murthy Karuturi , Genome Institute of Singapore
ABSTRACT
Differential co-expression signifies the deregulated pathways as opposed to differential expression that signifies change of gene expression. Kostka and Spang proposed a score and an algorithm to elicit differentially co-expressed gene-sets. We analyze the statistical properties of their score in two different data processing settings and obtain respective null-distributions to provide the statistical significance of a gene-set through the p-value of its score. We propose to use these p-values to automate their algorithm. In addition, we propose a two stage algorithm, based on Friendly Neighbors (FNs) algorithm, called FNs-KS algorithm for improved discovery of such gene set i.e. improves both sensitivity and specificity of the discovery.
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CITATION
Haixia Li, R. Krishna Murthy Karuturi, "Significance Analysis and Improved Discovery of Differentially Co-expressed Gene Sets in Microarray Data", 2013 IEEE 13th International Conference on Data Mining Workshops, vol. 00, no. , pp. 196-201, 2006, doi:10.1109/ICDMW.2006.146
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