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    BMCBI
    2010
    176views more  BMCBI 2010»
    Reverse engineering gene regulatory network from microarray data using linear time-variant model
    13 years 8 months ago
    Reverse engineering gene regulatory network from microarray data using linear time-variant model
    Download  www.biomedcentral.com
    nd: Gene regulatory network is an abstract mapping of gene regulations in living cells that can help to predict the system behavior of living organisms. Such prediction capability...
    Mitra Kabir, Nasimul Noman, Hitoshi Iba
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    BMCBI
    2006
    131views more  BMCBI 2006»
    SIMAGE: simulation of DNA-microarray gene expression data
    13 years 8 months ago
    SIMAGE: simulation of DNA-microarray gene expression data
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    Background: Simulation of DNA-microarray data serves at least three purposes: (i) optimizing the design of an intended DNA microarray experiment, (ii) comparing existing pre-proce...
    Casper J. Albers, Ritsert C. Jansen, Jan Kok, Osca...
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    BIOINFORMATICS
    2007
    195views more  BIOINFORMATICS 2007»
    Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
    13 years 8 months ago
    Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
    Download  www.stat.ucla.edu
    Motivation: High-throughput expression profiling allows researchers to study gene activities globally. Genes with similar expression profiles are likely to encode proteins that ma...
    Shinsheng Yuan, Ker-Chau Li
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    BMCBI
    2006
    155views more  BMCBI 2006»
    AffyMiner: mining differentially expressed genes and biological knowledge in GeneChip microarray data
    13 years 8 months ago
    AffyMiner: mining differentially expressed genes and biological knowledge in GeneChip microarray data
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    Background: DNA microarrays are a powerful tool for monitoring the expression of tens of thousands of genes simultaneously. With the advance of microarray technology, the challeng...
    Guoqing Lu, The V. Nguyen, Yuannan Xia, Michael Fr...
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    BMCBI
    2005
    178views more  BMCBI 2005»
    A quantization method based on threshold optimization for microarray short time series
    13 years 8 months ago
    A quantization method based on threshold optimization for microarray short time series
    Download  paduaresearch.cab.unipd.it
    Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
    Barbara Di Camillo, Fatima Sanchez-Cabo, Gianna To...
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