Significance analysis and improved discovery of differentially co-expressed gene sets in microarray data

被引：0

作者：

Li, Haixia ^{[1
]}

Karuturi, R. Krishna Murthy ^{[1
]}

机构：

[1] Genome Inst Singapore, 60,Biopolis St, Singapore, Singapore

来源：

ICDM 2006: SIXTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, WORKSHOPS | 2006年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：196 / +

页数：2