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» The Method of Quantum Clustering
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BMCBI
2007
112views more  BMCBI 2007»
15 years 6 months ago
Selecting dissimilar genes for multi-class classification, an application in cancer subtyping
Background: Gene expression microarray is a powerful technology for genetic profiling diseases and their associated treatments. Such a process involves a key step of biomarker ide...
Zhipeng Cai, Randy Goebel, Mohammad R. Salavatipou...
BMCBI
2008
80views more  BMCBI 2008»
15 years 6 months ago
Towards an automatic classification of protein structural domains based on structural similarity
Background: Formal classification of a large collection of protein structures aids the understanding of evolutionary relationships among them. Classifications involving manual ste...
Vichetra Sam, Chin-Hsien Tai, Jean Garnier, Jean-F...
BMCBI
2006
170views more  BMCBI 2006»
15 years 6 months ago
Biclustering of gene expression data by non-smooth non-negative matrix factorization
Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
Pedro Carmona-Saez, Roberto D. Pascual-Marqui, Fra...
SIAMSC
2008
97views more  SIAMSC 2008»
15 years 6 months ago
Long-Time Simulations on High Resolution Meshes to Model Calcium Waves in a Heart Cell
Abstract. A model for the flow of calcium in an atrial heart cell is given by a system of timedependent reaction-diffusion equations coupled by non-linear reaction terms. Calcium i...
Matthias K. Gobbert
BMCBI
2004
106views more  BMCBI 2004»
15 years 6 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...