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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
    Download  www.biomedcentral.com
    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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    IEEEMM
    2007
    146views more  IEEEMM 2007»
    Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis
    13 years 4 months ago
    Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis
    Download  venom.cs.utsa.edu
    — Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
    Yijuan Lu, Qi Tian, Maribel Sanchez, Jennifer L. N...
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    BMCBI
    2008
    157views more  BMCBI 2008»
    Dimension reduction with redundant gene elimination for tumor classification
    13 years 4 months ago
    Dimension reduction with redundant gene elimination for tumor classification
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    Background: Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DN...
    Xue-Qiang Zeng, Guo-Zheng Li, Jack Y. Yang, Mary Q...
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    BMCBI
    2007
    154views more  BMCBI 2007»
    h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
    13 years 4 months ago
    h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
    Download  www.biomedcentral.com
    Background: An ever increasing number of techniques are being used to find genes with similar profiles from microarray studies. Visualization of gene expression profiles can aid t...
    Yvonne E. Pittelkow, Susan R. Wilson
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