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    BMCBI
    2010
    100views more  BMCBI 2010»
    A robust method for estimating gene expression states using Affymetrix microarray probe level data
    13 years 4 months ago
    A robust method for estimating gene expression states using Affymetrix microarray probe level data
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    Background: Microarray technology is a high-throughput method for measuring the expression levels of thousand of genes simultaneously. The observed intensities combine a non-speci...
    Megu Ohtaki, Keiko Otani, Keiko Hiyama, Naomi Kame...
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    BMCBI
    2006
    126views more  BMCBI 2006»
    Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass ge
    13 years 4 months ago
    Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass ge
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    Background: Due to the large number of genes in a typical microarray dataset, feature selection looks set to play an important role in reducing noise and computational cost in gen...
    Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
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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 4 months ago
    Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
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    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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    BMCBI
    2007
    159views more  BMCBI 2007»
    Detecting differential expression in microarray data: comparison of optimal procedures
    13 years 4 months ago
    Detecting differential expression in microarray data: comparison of optimal procedures
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    Background: Many procedures for finding differentially expressed genes in microarray data are based on classical or modified t-statistics. Due to multiple testing considerations, ...
    Elena Perelman, Alexander Ploner, Stefano Calza, Y...
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    BMCBI
    2004
    150views more  BMCBI 2004»
    Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data
    13 years 4 months ago
    Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data
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    Background: A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals ...
    Dietmar E. Martin, Philippe Demougin, Michael N. H...
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