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    » Analysis of Microarray Titration Experiments
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    BMCBI
    2005
    104views more  BMCBI 2005»
    A statistical approach for array CGH data analysis
    13 years 8 months ago
    A statistical approach for array CGH data analysis
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    Background: Microarray-CGH experiments are used to detect and map chromosomal imbalances, by hybridizing targets of genomic DNA from a test and a reference sample to sequences imm...
    Franck Picard, Stéphane Robin, Marc Laviell...
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    BMCBI
    2010
    124views more  BMCBI 2010»
    A factor model to analyze heterogeneity in gene expression
    13 years 8 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
    2004
    146views more  BMCBI 2004»
    Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data
    13 years 8 months ago
    Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data
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    Background: Functional genomics studies are yielding information about regulatory processes in the cell at an unprecedented scale. In the yeast S. cerevisiae, DNA microarrays have...
    Feng Gao, Barrett C. Foat, Harmen J. Bussemaker
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    BMCBI
    2008
    155views more  BMCBI 2008»
    Extending pathways based on gene lists using InterPro domain signatures
    13 years 8 months ago
    Extending pathways based on gene lists using InterPro domain signatures
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    Background: High-throughput technologies like functional screens and gene expression analysis produce extended lists of candidate genes. Gene-Set Enrichment Analysis is a commonly...
    Florian Hahne, Alexander Mehrle, Dorit Arlt, Annem...
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    BMCBI
    2006
    186views more  BMCBI 2006»
    Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
    13 years 8 months ago
    Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
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    Background: Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments....
    Xiaoli Li, Yin-Chet Tan, See-Kiong Ng
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