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» Unfolding of Microarray Data
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AUSDM
2008
Springer
199views Data Mining» more  AUSDM 2008»
13 years 10 months ago
Kernel-based Visualisation of Genes with the Gene Ontology
With the development of microarray
Hamid Ghous, Paul J. Kennedy, Daniel R. Catchpoole...
BMCBI
2004
106views more  BMCBI 2004»
13 years 8 months ago
Spotting effect in microarray experiments
Background: Microarray data must be normalized because they suffer from multiple biases. We have identified a source of spatial experimental variability that significantly affects...
Tristan Mary-Huard, Jean-Jacques Daudin, Sté...
NAR
2008
90views more  NAR 2008»
13 years 8 months ago
Many Microbe Microarrays Database: uniformly normalized Affymetrix compendia with structured experimental metadata
Many Microbe Microarrays Database (M3D ) is designed to facilitate the analysis and visualization of expression data in compendia compiled from multiple laboratories. M3D contains...
Jeremiah J. Faith, Michael E. Driscoll, Vincent A....
BMCBI
2004
149views more  BMCBI 2004»
13 years 8 months ago
MiCoViTo: a tool for gene-centric comparison and visualization of yeast transcriptome states
Background: Information obtained by DNA microarray technology gives a rough snapshot of the transcriptome state, i.e., the expression level of all the genes expressed in a cell po...
Gaëlle Lelandais, Philippe Marc, Pierre Vince...
JMLR
2010
161views more  JMLR 2010»
13 years 2 months ago
Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option
Data extracted from microarrays are now considered an important source of knowledge about various diseases. Several studies based on microarray data and the use of receiver operat...
Malik Sajjad Ahmed Nadeem, Jean-Daniel Zucker, Bla...