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    » CoXpress: differential co-expression in gene expression data
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    BIBM
    2009
    IEEE
    172views Bioinformatics» more  BIBM 2009»
    Identifying Gene Signatures from Cancer Progression Data Using Ordinal Analysis
    14 years 20 days ago
    Identifying Gene Signatures from Cancer Progression Data Using Ordinal Analysis
    Download  vorlon.case.edu
    —A comprehensive understanding of cancer progression may shed light on genetic and molecular mechanisms of oncogenesis, and it may provide much needed information for effective d...
    Yoon Soo Pyon, Jing Li
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    BMCBI
    2008
    94views more  BMCBI 2008»
    A comprehensive re-analysis of the Golden Spike data: Towards a benchmark for differential expression methods
    13 years 7 months ago
    A comprehensive re-analysis of the Golden Spike data: Towards a benchmark for differential expression methods
    Download  www.biomedcentral.com
    Background: The Golden Spike data set has been used to validate a number of methods for summarizing Affymetrix data sets, sometimes with seemingly contradictory results. Much less...
    Richard D. Pearson
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    BMCBI
    2006
    154views more  BMCBI 2006»
    An improved procedure for gene selection from microarray experiments using false discovery rate criterion
    13 years 7 months ago
    An improved procedure for gene selection from microarray experiments using false discovery rate criterion
    Download  www.biomedcentral.com
    Background: A large number of genes usually show differential expressions in a microarray experiment with two types of tissues, and the p-values of a proper statistical test are o...
    James J. Yang, Mark C. K. Yang
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    BMCBI
    2010
    124views more  BMCBI 2010»
    A factor model to analyze heterogeneity in gene expression
    13 years 7 months ago
    A factor model to analyze heterogeneity in gene expression
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    Background: Microarray technology allows the simultaneous analysis of thousands of genes within a single experiment. Significance analyses of transcriptomic data ignore the gene d...
    Yuna Blum, Guillaume Le Mignon, Sandrine Lagarrigu...
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    BMCBI
    2005
    121views more  BMCBI 2005»
    Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
    13 years 7 months ago
    Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
    Download  www.biomedcentral.com
    Background: A critical step in processing oligonucleotide microarray data is combining the information in multiple probes to produce a single number that best captures the express...
    Kerby Shedden, Wei Chen, Rork Kuick, Debashis Ghos...
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