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» Clustering Genes Using Heterogeneous Data Sources
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BMCBI
2008
160views more  BMCBI 2008»
13 years 11 months ago
Cross-species and cross-platform gene expression studies with the Bioconductor-compliant R package 'annotationTools'
Background: The variety of DNA microarray formats and datasets presently available offers an unprecedented opportunity to perform insightful comparisons of heterogeneous data. Cro...
Alexandre Kuhn, Ruth Luthi-Carter, Mauro Delorenzi
BMCBI
2006
134views more  BMCBI 2006»
13 years 11 months ago
An approach for clustering gene expression data with error information
Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
Brian Tjaden
BMCBI
2006
116views more  BMCBI 2006»
13 years 11 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
2010
115views more  BMCBI 2010»
13 years 11 months ago
Multiconstrained gene clustering based on generalized projections
Background: Gene clustering for annotating gene functions is one of the fundamental issues in bioinformatics. The best clustering solution is often regularized by multiple constra...
Jia Zeng, Shanfeng Zhu, Alan Wee-Chung Liew, Hong ...
GI
2004
Springer
14 years 4 months ago
Dynamic information fusion for genome annotation
: The need for demand-driven and scaleable integration of heterogeneous data sources is inherent to the process of genome annotation. In this paper we describe the Gene-EYe archite...
Heiko Müller, Peter Rieger, Katja Tham, Johan...