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    BMCBI
    2010
    125views more  BMCBI 2010»
    Active machine learning for transmembrane helix prediction
    15 years 6 months ago
    Active machine learning for transmembrane helix prediction
    Download  www.cs.cmu.edu
    Background: About 30% of genes code for membrane proteins, which are involved in a wide variety of crucial biological functions. Despite their importance, experimentally determine...
    Hatice U. Osmanbeyoglu, Jessica A. Wehner, Jaime G...
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    BMCBI
    2008
    107views more  BMCBI 2008»
    A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
    15 years 6 months ago
    A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
    Download  www.biomedcentral.com
    Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
    Cong Zhou, Lucas D. Bowler, Jianfeng Feng
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    BMCBI
    2007
    91views more  BMCBI 2007»
    A machine learning approach for the identification of odorant binding proteins from sequence-derived properties
    15 years 6 months ago
    A machine learning approach for the identification of odorant binding proteins from sequence-derived properties
    Download  www.biomedcentral.com
    Background: Odorant binding proteins (OBPs) are believed to shuttle odorants from the environment to the underlying odorant receptors, for which they could potentially serve as od...
    Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Sug...
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    BMCBI
    2008
    98views more  BMCBI 2008»
    Building blocks for automated elucidation of metabolites: Machine learning methods for NMR prediction
    15 years 6 months ago
    Building blocks for automated elucidation of metabolites: Machine learning methods for NMR prediction
    Download  www.biomedcentral.com
    Stefan Kuhn, Björn Egert, Steffen Neumann, Ch...
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    BMCBI
    2008
    84views more  BMCBI 2008»
    Revealing sequence variation patterns in rice with machine learning methods
    15 years 6 months ago
    Revealing sequence variation patterns in rice with machine learning methods
    Download  www.fml.tuebingen.mpg.de
    Regina Bohnert, Georg Zeller, Richard M. Clark, Ke...
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