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» Semantic Mining and Analysis of Gene Expression Data
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BMCBI
2004
139views more  BMCBI 2004»
13 years 8 months ago
Resolution of large and small differences in gene expression using models for the Bayesian analysis of gene expression levels an
Background: The detection of small yet statistically significant differences in gene expression in spotted DNA microarray studies is an ongoing challenge. Meeting this challenge r...
Jeffrey P. Townsend
BMCBI
2005
124views more  BMCBI 2005»
13 years 8 months ago
ErmineJ: Tool for functional analysis of gene expression data sets
Background: It is common for the results of a microarray study to be analyzed in the context of biologically-motivated groups of genes such as pathways or Gene Ontology categories...
Homin K. Lee, William Braynen, Kiran Keshav, Paul ...
HICSS
2002
IEEE
127views Biometrics» more  HICSS 2002»
14 years 1 months ago
Interactive Visualization and Analysis for Gene Expression Data
Currently, the cDNA and genomic sequence projects are processing at such a rapid rate that more and more gene data become available. New methods are needed to efficiently and eff...
Chun Tang, Li Zhang, Aidong Zhang
ICDE
2004
IEEE
133views Database» more  ICDE 2004»
14 years 10 months ago
GenExplore: Interactive Exploration of Gene Interactions from Microarray Data
DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Yong Ye, Xintao Wu, Kalpathi R. Subramanian, Liyin...