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» Unfolding of Microarray Data
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ISCI
2008
102views more  ISCI 2008»
13 years 8 months ago
Random walk biclustering for microarray data
A biclustering algorithm, based on a greedy technique and enriched with a local search strategy to escape poor local minima, is proposed. The algorithm starts with an initial rand...
Fabrizio Angiulli, Eugenio Cesario, Clara Pizzuti
BMCBI
2006
115views more  BMCBI 2006»
13 years 8 months ago
Multivariate curve resolution of time course microarray data
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
Peter D. Wentzell, Tobias K. Karakach, Sushmita Ro...
BMCBI
2007
194views more  BMCBI 2007»
13 years 8 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
ALMOB
2008
93views more  ALMOB 2008»
13 years 8 months ago
A weighted average difference method for detecting differentially expressed genes from microarray data
Background: Identification of differentially expressed genes (DEGs) under different experimental conditions is an important task in many microarray studies. However, choosing whic...
Koji Kadota, Yuji Nakai, Kentaro Shimizu
BMCBI
2005
99views more  BMCBI 2005»
13 years 8 months ago
maxdLoad2 and maxdBrowse: standards-compliant tools for microarray experimental annotation, data management and dissemination
Background: maxdLoad2 is a relational database schema and Java
David Hancock, Michael Wilson, Giles Velarde, Norm...