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    » Duration learning for analysis of nanopore ionic current blo...
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    BMCBI
    2007
    98views more  BMCBI 2007»
    Duration learning for analysis of nanopore ionic current blockades
    14 years 10 months ago
    Duration learning for analysis of nanopore ionic current blockades
    Download  www.biomedcentral.com
    Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties, with potential implications ...
    Alexander G. Churbanov, Carl Baribault, Stephen Wi...
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    BMCBI
    2008
    132views more  BMCBI 2008»
    Clustering ionic flow blockade toggles with a Mixture of HMMs
    14 years 10 months ago
    Clustering ionic flow blockade toggles with a Mixture of HMMs
    Download  www.cs.uno.edu
    Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties with potential implications f...
    Alexander G. Churbanov, Stephen Winters-Hilt
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    BMCBI
    2007
    153views more  BMCBI 2007»
    Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
    14 years 10 months ago
    Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
    Download  www.biomedcentral.com
    Background: A nanopore detector has a nanometer-scale trans-membrane channel across which a potential difference is established, resulting in an ionic current through the channel ...
    Matthew Landry, Stephen Winters-Hilt
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    BMCBI
    2006
    91views more  BMCBI 2006»
    Cheminformatics methods for novel nanopore analysis of HIV DNA termini
    14 years 10 months ago
    Cheminformatics methods for novel nanopore analysis of HIV DNA termini
    Download  www.biomedcentral.com
    Background: Channel current feature extraction methods, using Hidden Markov Models (HMMs) have been designed for tracking individual-molecule conformational changes. This informat...
    Stephen Winters-Hilt, Matthew Landry, Mark Akeson,...
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    BMCBI
    2007
    115views more  BMCBI 2007»
    A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
    14 years 10 months ago
    A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
    Download  www.biomedcentral.com
    Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
    Stephen Winters-Hilt, Carl Baribault
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