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» A factor model to analyze heterogeneity in gene expression
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BMCBI
2005
107views more  BMCBI 2005»
14 years 9 months ago
Identifying differential expression in multiple SAGE libraries: an overdispersed log-linear model approach
Background: In testing for differential gene expression involving multiple serial analysis of gene expression (SAGE) libraries, it is critical to account for both between and with...
Jun Lu, John K. Tomfohr, Thomas B. Kepler
91
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BIBE
2004
IEEE
179views Bioinformatics» more  BIBE 2004»
15 years 1 months ago
Incorporating Ontology-Driven Similarity Knowledge into Functional Genomics: An Exploratory Study
This research explores the feasibility of semantic similarity approaches to supporting predictive tasks in functional genomics. It aims to establish potential relationships betwee...
Francisco Azuaje, Olivier Bodenreider
92
Voted
BMCBI
2008
146views more  BMCBI 2008»
14 years 9 months ago
A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data
Background: The previous studies of genome-wide expression patterns show that a certain percentage of genes are cell cycle regulated. The expression data has been analyzed in a nu...
Chang Sik Kim, Cheol Soo Bae, Hong Joon Tcha
BMCBI
2006
116views more  BMCBI 2006»
14 years 9 months ago
Cluster analysis for DNA methylation profiles having a detection threshold
Background: DNA methylation, a molecular feature used to investigate tumor heterogeneity, can be measured on many genomic regions using the MethyLight technology. Due to the combi...
Paul Marjoram, Jing Chang, Peter W. Laird, Kimberl...
BMCBI
2006
126views more  BMCBI 2006»
14 years 9 months ago
OpWise: Operons aid the identification of differentially expressed genes in bacterial microarray experiments
Background: Differentially expressed genes are typically identified by analyzing the variation between replicate measurements. These procedures implicitly assume that there are no...
Morgan N. Price, Adam P. Arkin, Eric J. Alm