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    BMCBI
    2004
    131views more  BMCBI 2004»
    Alternative mapping of probes to genes for Affymetrix chips
    14 years 9 months ago
    Alternative mapping of probes to genes for Affymetrix chips
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    Background: Short oligonucleotide arrays have several probes measuring the expression level of each target transcript. Therefore the selection of probes is a key component for the...
    Laurent Gautier, Morten Møller, Lennart Fri...
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    INFORMS
    1998
    142views more  INFORMS 1998»
    Distributed State Space Generation of Discrete-State Stochastic Models
    14 years 9 months ago
    Distributed State Space Generation of Discrete-State Stochastic Models
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    High-level formalisms such as stochastic Petri nets can be used to model complex systems. Analysis of logical and numerical properties of these models often requires the generatio...
    Gianfranco Ciardo, Joshua Gluckman, David M. Nicol
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    PAMI
    2002
    114views more  PAMI 2002»
    Principal Manifolds and Probabilistic Subspaces for Visual Recognition
    14 years 9 months ago
    Principal Manifolds and Probabilistic Subspaces for Visual Recognition
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    We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...
    Baback Moghaddam
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    BIOINFORMATICS
    2011
    188views Artificial Intelligence» more  BIOINFORMATICS 2011»
    Inverse perturbation for optimal intervention in gene regulatory networks
    14 years 4 months ago
    Inverse perturbation for optimal intervention in gene regulatory networks
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    Motivation: Analysis and intervention in the dynamics of gene regulatory networks is at the heart of emerging efforts in the development of modern treatment of numerous ailments i...
    Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld
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    BMCBI
    2011
    198views Artificial Intelligence» more  BMCBI 2011»
    Empirical Bayesian models for analysing molecular serotyping microarrays
    14 years 4 months 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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