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    BMCBI
    2007
    168views more  BMCBI 2007»
    Benchmarking consensus model quality assessment for protein fold recognition
    13 years 8 months ago
    Benchmarking consensus model quality assessment for protein fold recognition
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    Background: Selecting the highest quality 3D model of a protein structure from a number of alternatives remains an important challenge in the field of structural bioinformatics. M...
    Liam J. McGuffin
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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
    13 years 8 months ago
    A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
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    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
    2008
    134views more  BMCBI 2008»
    Bioinformatic analyses of mammalian 5'-UTR sequence properties of mRNAs predicts alternative translation initiation sites
    13 years 8 months ago
    Bioinformatic analyses of mammalian 5'-UTR sequence properties of mRNAs predicts alternative translation initiation sites
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    Background: Utilization of alternative initiation sites for protein translation directed by non-AUG codons in mammalian mRNAs is observed with increasing frequency. Alternative in...
    Jill L. Wegrzyn, Thomas M. Drudge, Faramarz Valafa...
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    BMCBI
    2008
    116views more  BMCBI 2008»
    IgTM: An algorithm to predict transmembrane domains and topology in proteins
    13 years 8 months ago
    IgTM: An algorithm to predict transmembrane domains and topology in proteins
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    Background: Due to their role of receptors or transporters, membrane proteins play a key role in many important biological functions. In our work we used Grammatical Inference (GI...
    Piedachu Peris, Damián López, Marcel...
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    BMCBI
    2010
    224views more  BMCBI 2010»
    An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
    13 years 8 months ago
    An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
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    Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
    Susmita Datta, Vasyl Pihur, Somnath Datta
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