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    DMKD
    2003
    ACM
    96views Data Mining» more  DMKD 2003»
    Using transposition for pattern discovery from microarray data
    14 years 2 months ago
    Using transposition for pattern discovery from microarray data
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    We analyze expression matrices to identify a priori interesting sets of genes, e.g., genes that are frequently co-regulated. Such matrices provide expression values for given biol...
    François Rioult, Jean-François Bouli...
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    BMCBI
    2004
    146views more  BMCBI 2004»
    Multivariate search for differentially expressed gene combinations
    13 years 8 months ago
    Multivariate search for differentially expressed gene combinations
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    Background: To identify differentially expressed genes, it is standard practice to test a twosample hypothesis for each gene with a proper adjustment for multiple testing. Such te...
    Yuanhui Xiao, Robert D. Frisina, Alexander Gordon,...
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    BMCBI
    2010
    108views more  BMCBI 2010»
    Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of h
    13 years 9 months ago
    Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of h
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    Background: A major goal of the analysis of high-dimensional RNA expression data from tumor tissue is to identify prognostic signatures for discriminating patient subgroups. For t...
    Birte Hellwig, Jan G. Hengstler, Marcus Schmidt, M...
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    BMCBI
    2010
    167views more  BMCBI 2010»
    Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
    13 years 9 months ago
    Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
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    Background: Transcriptional gene regulation is one of the most important mechanisms in controlling many essential cellular processes, including cell development, cell-cycle contro...
    Marc Bailly-Bechet, Alfredo Braunstein, Andrea Pag...
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    BMCBI
    2006
    103views more  BMCBI 2006»
    Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
    13 years 8 months ago
    Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
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    Background: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level ...
    Sébastien Lemieux
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