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» Clustering cancer gene expression data: a comparative study
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FUIN
2002
123views more  FUIN 2002»
15 years 6 months ago
Learning Rough Set Classifiers from Gene Expressions and Clinical Data
Biological research is currently undergoing a revolution. With the advent of microarray technology the behavior of thousands of genes can be measured simultaneously. This capabilit...
Herman Midelfart, Henryk Jan Komorowski, Kristin N...
BMCBI
2007
127views more  BMCBI 2007»
15 years 6 months ago
A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments
Background: With the explosion in data generated using microarray technology by different investigators working on similar experiments, it is of interest to combine results across...
Hyungwon Choi, Ronglai Shen, Arul M. Chinnaiyan, D...
BMCBI
2010
127views more  BMCBI 2010»
15 years 6 months ago
SplicerAV: a tool for mining microarray expression data for changes in RNA processing
Background: Over the past two decades more than fifty thousand unique clinical and biological samples have been assayed using the Affymetrix HG-U133 and HG-U95 GeneChip microarray...
Timothy J. Robinson, Michaela A. Dinan, Mark Dewhi...
RECOMB
2008
Springer
16 years 6 months ago
Detecting Disease-Specific Dysregulated Pathways Via Analysis of Clinical Expression Profiles
We present a method for identifying connected gene subnetworks significantly enriched for genes that are dysregulated in specimens of a disease. These subnetworks provide a signat...
Igor Ulitsky, Richard M. Karp, Ron Shamir
BMCBI
2004
111views more  BMCBI 2004»
15 years 6 months ago
Multiclass discovery in array data
Background: A routine goal in the analysis of microarray data is to identify genes with expression levels that correlate with known classes of experiments. In a growing number of ...
Yingchun Liu, Markus Ringnér