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    BMCBI
    2007
    194views more  BMCBI 2007»
    Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
    13 years 7 months ago
    Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
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    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
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    BMCBI
    2007
    147views more  BMCBI 2007»
    Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model
    13 years 7 months ago
    Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model
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    Background: Serial analysis of gene expression (SAGE) is used to obtain quantitative snapshots of the transcriptome. These profiles are count-based and are assumed to follow a Bin...
    Scott D. Zuyderduyn
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    BMCBI
    2008
    167views more  BMCBI 2008»
    Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classificat
    13 years 7 months ago
    Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classificat
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    Background: Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of ide...
    Michael Gormley, Aydin Tozeren
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    APBC
    2004
    138views Bioinformatics» more  APBC 2004»
    Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data
    13 years 8 months ago
    Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data
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    Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments. The resulti...
    See-Kiong Ng, Zexuan Zhu, Yew-Soon Ong
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    BMCBI
    2007
    134views more  BMCBI 2007»
    A framework for significance analysis of gene expression data using dimension reduction methods
    13 years 7 months ago
    A framework for significance analysis of gene expression data using dimension reduction methods
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    Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
    Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
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