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    SIAMSC
    2008
    198views more  SIAMSC 2008»
    Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
    13 years 8 months ago
    Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
    Download  acdl.mit.edu
    A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
    T. Bui-Thanh, Karen Willcox, Omar Ghattas
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    IJON
    1998
    158views more  IJON 1998»
    Bayesian Kullback Ying-Yang dependence reduction theory
    13 years 8 months ago
    Bayesian Kullback Ying-Yang dependence reduction theory
    Download  www.cse.cuhk.edu.hk
    Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
    Lei Xu
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    BMCBI
    2007
    162views more  BMCBI 2007»
    Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis
    13 years 8 months ago
    Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis
    Download  www.biomedcentral.com
    Background: Genome-wide identification of specific oligonucleotides (oligos) is a computationallyintensive task and is a requirement for designing microarray probes, primers, and ...
    Chun-Chi Liu, Chin-Chung Lin, Ker-Chau Li, Wen-Shy...
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    BMCBI
    2006
    97views more  BMCBI 2006»
    Goulphar: rapid access and expertise for standard two-color microarray normalization methods
    13 years 8 months ago
    Goulphar: rapid access and expertise for standard two-color microarray normalization methods
    Download  www.biomedcentral.com
    Background: Raw data normalization is a critical step in microarray data analysis because it directly affects data interpretation. Most of the normalization methods currently used...
    Sophie Lemoine, Florence Combes, Nicolas Servant, ...
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    BIODATAMINING
    2008
    135views more  BIODATAMINING 2008»
    Fast Gene Ontology based clustering for microarray experiments
    13 years 8 months ago
    Fast Gene Ontology based clustering for microarray experiments
    Download  www.biodatamining.org
    Background: Analysis of a microarray experiment often results in a list of hundreds of diseaseassociated genes. In order to suggest common biological processes and functions for t...
    Kristian Ovaska, Marko Laakso, Sampsa Hautaniemi
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