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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 4 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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    BMCBI
    2010
    243views more  BMCBI 2010»
    Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
    13 years 4 months ago
    Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
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    Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
    Christoph Bartenhagen, Hans-Ulrich Klein, Christia...
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    GPB
    2010
    231views Solid Modeling» more  GPB 2010»
    Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
    13 years 1 months ago
    Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
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    The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
    Ferran Reverter, Esteban Vegas, Pedro Sánch...
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    ESANN
    2008
    149views Neural Networks» more  ESANN 2008»
    A method for robust variable selection with significance assessment
    13 years 6 months ago
    A method for robust variable selection with significance assessment
    Download  web.mit.edu
    Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
    Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
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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 4 months ago
    Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model
    Download  www.biomedcentral.com
    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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