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    BMCBI
    2007
    180views more  BMCBI 2007»
    Splicy: a web-based tool for the prediction of possible alternative splicing events from Affymetrix probeset data
    13 years 7 months ago
    Splicy: a web-based tool for the prediction of possible alternative splicing events from Affymetrix probeset data
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    Background: The Affymetrix™ technology is nowadays a well-established method for the analysis of gene expression profiles in cancer research studies. However, changes in gene ex...
    Davide Rambaldi, Barbara Felice, Viviane Praz, Phi...
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    BMCBI
    2006
    181views more  BMCBI 2006»
    Array2BIO: from microarray expression data to functional annotation of co-regulated genes
    13 years 7 months ago
    Array2BIO: from microarray expression data to functional annotation of co-regulated genes
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    Background: There are several isolated tools for partial analysis of microarray expression data. To provide an integrative, easy-to-use and automated toolkit for the analysis of A...
    Gabriela G. Loots, Patrick S. G. Chain, Shalini Ma...
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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 7 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
    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 6 months ago
    Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
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    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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    BMCBI
    2007
    179views more  BMCBI 2007»
    Transcript-level annotation of Affymetrix probesets improves the interpretation of gene expression data
    13 years 7 months ago
    Transcript-level annotation of Affymetrix probesets improves the interpretation of gene expression data
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    Background: The wide use of Affymetrix microarray in broadened fields of biological research has made the probeset annotation an important issue. Standard Affymetrix probeset anno...
    Hui Yu, Feng Wang, Kang Tu, Lu Xie, Yuan-Yuan Li, ...
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