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    JIB
    2007
    68views more  JIB 2007»
    Supervised classification of combined copy number and gene expression data
    13 years 5 months ago
    Supervised classification of combined copy number and gene expression data
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    Samantha Riccadonna, Giuseppe Jurman, Stefano Merl...
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    BMCBI
    2007
    173views more  BMCBI 2007»
    Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
    13 years 5 months ago
    Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
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    Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
    Malik Yousef, Segun Jung, Louise C. Showe, Michael...
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    BMCBI
    2005
    167views more  BMCBI 2005»
    Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
    13 years 5 months ago
    Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
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    Background: The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer...
    Patrick Warnat, Roland Eils, Benedikt Brors
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    ISMB
    2008
    209views Computational Biology» more  ISMB 2008»
    Classification of arrayCGH data using fused SVM
    13 years 7 months ago
    Classification of arrayCGH data using fused SVM
    Download  bioinfo-out.curie.fr
    Motivation: Array-based comparative genomic hybridization (arrayCGH) has recently become a popular tool to identify DNA copy number variations along the genome. These profiles are...
    Franck Rapaport, Emmanuel Barillot, Jean-Philippe ...
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    BMCBI
    2007
    143views more  BMCBI 2007»
    Gene selection for classification of microarray data based on the Bayes error
    13 years 5 months ago
    Gene selection for classification of microarray data based on the Bayes error
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    Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
    Ji-Gang Zhang, Hong-Wen Deng
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