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    » Probe Design for Compressive Sensing DNA Microarrays
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    BMCBI
    2011
    198views Artificial Intelligence» more  BMCBI 2011»
    Empirical Bayesian models for analysing molecular serotyping microarrays
    13 years 23 days ago
    Empirical Bayesian models for analysing molecular serotyping microarrays
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    Background: Microarrays offer great potential as a platform for molecular diagnostics, testing clinical samples for the presence of numerous biomarkers in highly multiplexed assay...
    Richard Newton, Jason Hinds, Lorenz Wernisch
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    BMCBI
    2005
    121views more  BMCBI 2005»
    Evaluation of gene importance in microarray data based upon probability of selection
    13 years 5 months ago
    Evaluation of gene importance in microarray data based upon probability of selection
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    Background: Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. As many import...
    Li M. Fu, Casey S. Fu-Liu
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    BMCBI
    2010
    94views more  BMCBI 2010»
    A high-throughput pipeline for the design of real-time PCR signatures
    13 years 5 months ago
    A high-throughput pipeline for the design of real-time PCR signatures
    Download  www.bhsai.org
    Background: Pathogen diagnostic assays based on polymerase chain reaction (PCR) technology provide high sensitivity and specificity. However, the design of these diagnostic assays...
    Ravi Vijaya Satya, Kamal Kumar, Nela Zavaljevski, ...
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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 5 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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    JMLR
    2008
    209views more  JMLR 2008»
    Bayesian Inference and Optimal Design for the Sparse Linear Model
    13 years 5 months ago
    Bayesian Inference and Optimal Design for the Sparse Linear Model
    Download  www.kyb.tuebingen.mpg.de
    The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
    Matthias W. Seeger
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