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    BMCBI
    2005
    178views more  BMCBI 2005»
    A quantization method based on threshold optimization for microarray short time series
    13 years 8 months ago
    A quantization method based on threshold optimization for microarray short time series
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    Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
    Barbara Di Camillo, Fatima Sanchez-Cabo, Gianna To...
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    BMCBI
    2004
    169views more  BMCBI 2004»
    A power law global error model for the identification of differentially expressed genes in microarray data
    13 years 8 months ago
    A power law global error model for the identification of differentially expressed genes in microarray data
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    Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
    Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...
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    GCB
    2010
    Springer
    204views Biometrics» more  GCB 2010»
    Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples
    13 years 6 months ago
    Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples
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    : Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
    Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasn...
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    BMCBI
    2005
    163views more  BMCBI 2005»
    Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data
    13 years 8 months ago
    Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data
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    Background: The evaluation of statistical significance has become a critical process in identifying differentially expressed genes in microarray studies. Classical p-value adjustm...
    Nitin Jain, HyungJun Cho, Michael O'Connell, Jae K...
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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 8 months ago
    Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
    Download  www.biomedcentral.com
    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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