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    BMCBI
    2010
    193views more  BMCBI 2010»
    Probe set filtering increases correlation between Affymetrix GeneChip and qRT-PCR expression measurements
    13 years 5 months ago
    Probe set filtering increases correlation between Affymetrix GeneChip and qRT-PCR expression measurements
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    Background: Affymetrix GeneChip microarrays are popular platforms for expression profiling in two types of studies: detection of differential expression computed by p-values of t-...
    Jakub Mieczkowski, Magdalena E. Tyburczy, Michal D...
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    BMCBI
    2007
    120views more  BMCBI 2007»
    Re-sampling strategy to improve the estimation of number of null hypotheses in FDR control under strong correlation structures
    13 years 5 months ago
    Re-sampling strategy to improve the estimation of number of null hypotheses in FDR control under strong correlation structures
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    Background: When conducting multiple hypothesis tests, it is important to control the number of false positives, or the False Discovery Rate (FDR). However, there is a tradeoff be...
    Xin Lu, David L. Perkins
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    BMCBI
    2005
    169views more  BMCBI 2005»
    An adaptive method for cDNA microarray normalization
    13 years 5 months ago
    An adaptive method for cDNA microarray normalization
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    Background: Normalization is a critical step in analysis of gene expression profiles. For duallabeled arrays, global normalization assumes that the majority of the genes on the ar...
    Yingdong Zhao, Ming-Chung Li, Richard Simon
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    BMCBI
    2010
    156views more  BMCBI 2010»
    Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments
    13 years 5 months ago
    Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments
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    Background: High-throughput sequencing technologies, such as the Illumina Genome Analyzer, are powerful new tools for investigating a wide range of biological and medical question...
    James H. Bullard, Elizabeth Purdom, Kasper D. Hans...
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    BMCBI
    2010
    124views more  BMCBI 2010»
    A factor model to analyze heterogeneity in gene expression
    13 years 5 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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