571 search results - page 35 / 115 » Feature Selection and Gene Clustering from Gene Expression D... |
BMCBI
2007
14 years 11 months ago
2007
Background: Microarrays are widely used for the study of gene expression; however deciding on whether observed differences in expression are significant remains a challenge. Resul...
126
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BMCBI
2005
14 years 11 months ago
2005
Background: A promising direction in the analysis of gene expression focuses on the changes in expression of specific predefined sets of genes that are known in advance to be rela...
116
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BMCBI
2006
14 years 12 months ago
2006
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
CSB
2004
IEEE
15 years 3 months ago
2004
IEEE
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
115
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BMCBI
2008
14 years 12 months ago
2008
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...