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    IJNS
    2006
    37views more  IJNS 2006»
    Mixture Models for Detecting Differentially Expressed Genes in Microarrays
    13 years 5 months ago
    Mixture Models for Detecting Differentially Expressed Genes in Microarrays
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    Liat Ben-Tovim Jones, Richard Bean, Geoffrey J. Mc...
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    BMCBI
    2007
    149views more  BMCBI 2007»
    Novel and simple transformation algorithm for combining microarray data sets
    13 years 5 months ago
    Novel and simple transformation algorithm for combining microarray data sets
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    Background: With microarray technology, variability in experimental environments such as RNA sources, microarray production, or the use of different platforms, can cause bias. Suc...
    Ki-Yeol Kim, Dong Hyuk Ki, Ha Jin Jeong, Hei-Cheul...
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    BMCBI
    2004
    158views more  BMCBI 2004»
    A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
    13 years 5 months ago
    A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
    Download  www.biomedcentral.com
    Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
    Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
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    BMCBI
    2007
    163views more  BMCBI 2007»
    Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA - a Bayesian approac
    13 years 5 months ago
    Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA - a Bayesian approac
    Download  www.biomedcentral.com
    Background: Microarrays are widely used for the study of gene expression; however deciding on whether observed differences in expression are significant remains a challenge. Resul...
    Carmen Pin, Mark Reuter
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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 5 months ago
    Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
    Download  www.biomedcentral.com
    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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