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    » Analysis of variance components in gene expression data
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    BMCBI
    2006
    119views more  BMCBI 2006»
    Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip stu
    14 years 9 months ago
    Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip stu
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    Background: The choice of probe set algorithms for expression summary in a GeneChip study has a great impact on subsequent gene expression data analysis. Spiked-in cRNAs with know...
    Zihua Hu, Gail R. Willsky
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    JCB
    2002
    160views more  JCB 2002»
    Inference from Clustering with Application to Gene-Expression Microarrays
    14 years 9 months ago
    Inference from Clustering with Application to Gene-Expression Microarrays
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    There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
    Edward R. Dougherty, Junior Barrera, Marcel Brun, ...
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    BMCBI
    2004
    113views more  BMCBI 2004»
    Leveraging two-way probe-level block design for identifying differential gene expression with high-density oligonucleotide array
    14 years 9 months ago
    Leveraging two-way probe-level block design for identifying differential gene expression with high-density oligonucleotide array
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    Background: To identify differentially expressed genes across experimental conditions in oligonucleotide microarray experiments, existing statistical methods commonly use a summar...
    Leah Barrera, Chris Benner, Yong-Chuan Tao, Elizab...
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    BMCBI
    2011
    242views Artificial Intelligence» more  BMCBI 2011»
    Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in i
    14 years 4 months ago
    Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in i
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    Background: In the last decades, microarray technology has spread, leading to a dramatic increase of publicly available datasets. The first statistical tools developed were focuse...
    Paolo G. V. Martini, Davide Risso, Gabriele Sales,...
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    BMCBI
    2010
    124views more  BMCBI 2010»
    A factor model to analyze heterogeneity in gene expression
    14 years 9 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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