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    BIBE
    2007
    IEEE
    153views Bioinformatics» more  BIBE 2007»
    Combined expression data with missing values and gene interaction network analysis: a Markovian integrated approach
    13 years 7 months ago
    Combined expression data with missing values and gene interaction network analysis: a Markovian integrated approach
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    —DNA microarray technologies provide means for monitoring in the order of tens of thousands of gene expression levels quantitatively and simultaneously. However data generated in...
    Juliette Blanchet, Matthieu Vignes
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    BMCBI
    2005
    189views more  BMCBI 2005»
    Quantitative inference of dynamic regulatory pathways via microarray data
    13 years 5 months ago
    Quantitative inference of dynamic regulatory pathways via microarray data
    Download  www.biomedcentral.com
    Background: The cellular signaling pathway (network) is one of the main topics of organismic investigations. The intracellular interactions between genes in a signaling pathway ar...
    Wen-Chieh Chang, Chang-Wei Li, Bor-Sen Chen
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    BMCBI
    2010
    147views more  BMCBI 2010»
    Learning biological network using mutual information and conditional independence
    13 years 5 months ago
    Learning biological network using mutual information and conditional independence
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    Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
    Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
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    BMCBI
    2007
    114views more  BMCBI 2007»
    Large scale statistical inference of signaling pathways from RNAi and microarray data
    13 years 5 months ago
    Large scale statistical inference of signaling pathways from RNAi and microarray data
    Download  www.biomedcentral.com
    Background: The advent of RNA interference techniques enables the selective silencing of biologically interesting genes in an efficient way. In combination with DNA microarray tec...
    Holger Fröhlich, Mark Fellmann, Holger Sü...
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    BMCBI
    2004
    205views more  BMCBI 2004»
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    13 years 5 months ago
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    Download  www.biomedcentral.com
    Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
    Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
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