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    BMCBI
    2006
    114views more  BMCBI 2006»
    A methodology for global validation of microarray experiments
    14 years 9 months ago
    A methodology for global validation of microarray experiments
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    Background: DNA microarrays are popular tools for measuring gene expression of biological samples. This ever increasing popularity is ensuring that a large number of microarray st...
    Mathieu Miron, Owen Z. Woody, Alexandre Marcil, Ca...
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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
    14 years 9 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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    BMCBI
    2006
    120views more  BMCBI 2006»
    An improved distance measure between the expression profiles linking co-expression and co-regulation in mouse
    14 years 9 months ago
    An improved distance measure between the expression profiles linking co-expression and co-regulation in mouse
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    Background: Many statistical algorithms combine microarray expression data and genome sequence data to identify transcription factor binding motifs in the low eukaryotic genomes. ...
    Ryung S. Kim, Hongkai Ji, Wing Hung Wong
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    BMCBI
    2006
    129views more  BMCBI 2006»
    Identifying genes that contribute most to good classification in microarrays
    14 years 9 months ago
    Identifying genes that contribute most to good classification in microarrays
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    Background: The goal of most microarray studies is either the identification of genes that are most differentially expressed or the creation of a good classification rule. The dis...
    Stuart G. Baker, Barnett S. Kramer
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    KDD
    2004
    ACM
    145views Data Mining» more  KDD 2004»
    Mining coherent gene clusters from gene-sample-time microarray data
    15 years 10 months ago
    Mining coherent gene clusters from gene-sample-time microarray data
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    Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
    Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...
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