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    BMCBI
    2004
    139views more  BMCBI 2004»
    Resolution of large and small differences in gene expression using models for the Bayesian analysis of gene expression levels an
    13 years 8 months ago
    Resolution of large and small differences in gene expression using models for the Bayesian analysis of gene expression levels an
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    Background: The detection of small yet statistically significant differences in gene expression in spotted DNA microarray studies is an ongoing challenge. Meeting this challenge r...
    Jeffrey P. Townsend
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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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    BMCBI
    2006
    126views more  BMCBI 2006»
    OpWise: Operons aid the identification of differentially expressed genes in bacterial microarray experiments
    13 years 8 months ago
    OpWise: Operons aid the identification of differentially expressed genes in bacterial microarray experiments
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    Background: Differentially expressed genes are typically identified by analyzing the variation between replicate measurements. These procedures implicitly assume that there are no...
    Morgan N. Price, Adam P. Arkin, Eric J. Alm
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    BMCBI
    2006
    153views more  BMCBI 2006»
    Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
    13 years 8 months ago
    Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
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    Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
    Maureen A. Sartor, Craig R. Tomlinson, Scott C. We...
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    WCE
    2007
    180views Electrical And Computer Engi...» more  WCE 2007»
    Gene Selection for Tumor Classification Using Microarray Gene Expression Data
    13 years 9 months ago
    Gene Selection for Tumor Classification Using Microarray Gene Expression Data
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    – In this paper we perform a t-test for significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare several computa...
    Krishna Yendrapalli, Ram B. Basnet, Srinivas Mukka...
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