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    BMCBI
    2006
    173views more  BMCBI 2006»
    Kernel-based distance metric learning for microarray data classification
    14 years 9 months ago
    Kernel-based distance metric learning for microarray data classification
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    Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
    Huilin Xiong, Xue-wen Chen
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    CI
    2006
    101views more  CI 2006»
    Sentiment Classification of Movie Reviews Using Contextual Valence Shifters
    14 years 9 months ago
    Sentiment Classification of Movie Reviews Using Contextual Valence Shifters
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    We present two methods for determining the sentiment expressed by a movie review. The semantic orientation of a review can be positive, negative, or neutral. We examine the effect...
    Alistair Kennedy, Diana Inkpen
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    BMCBI
    2007
    157views more  BMCBI 2007»
    Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
    14 years 9 months ago
    Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
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    Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
    Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
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    BMCBI
    2007
    77views more  BMCBI 2007»
    Effective selection of informative SNPs and classification on the HapMap genotype data
    14 years 9 months ago
    Effective selection of informative SNPs and classification on the HapMap genotype data
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    Background: Since the single nucleotide polymorphisms (SNPs) are genetic variations which determine the difference between any two unrelated individuals, the SNPs can be used to i...
    Nina Zhou, Lipo Wang
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    BMCBI
    2007
    173views more  BMCBI 2007»
    Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
    14 years 9 months ago
    Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
    Download  www.biomedcentral.com
    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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