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    BIOINFORMATICS
    2007
    59views more  BIOINFORMATICS 2007»
    Learning probabilistic models of cis-regulatory modules that represent logical and spatial aspects
    13 years 10 months ago
    Learning probabilistic models of cis-regulatory modules that represent logical and spatial aspects
    Download  www.biostat.wisc.edu
    Keith Noto, Mark Craven
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    BIOINFORMATICS
    2008
    110views more  BIOINFORMATICS 2008»
    Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection
    13 years 10 months ago
    Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection
    Download  carbon.videolectures.net
    Theodoros Damoulas, Mark A. Girolami
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    ISMIS
    2005
    Springer
    148views Artificial Intelligence» more  ISMIS 2005»
    A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries
    14 years 3 months ago
    A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries
    Download  www.cs.cmu.edu
    In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
    Betty Yee Man Cheng, Jaime G. Carbonell, Judith Kl...
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    CONSTRAINTS
    2008
    182views more  CONSTRAINTS 2008»
    Constraint Programming in Structural Bioinformatics
    13 years 10 months ago
    Constraint Programming in Structural Bioinformatics
    Download  rewerse.net
    Bioinformatics aims at applying computer science methods to the wealth of data collected in a variety of experiments in life sciences (e.g. cell and molecular biology, biochemistry...
    Pedro Barahona, Ludwig Krippahl
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    BIOINFORMATICS
    2005
    51views more  BIOINFORMATICS 2005»
    Fold recognition by combining profile-profile alignment and support vector machine
    13 years 9 months ago
    Fold recognition by combining profile-profile alignment and support vector machine
    Download  www-users.cs.umn.edu
    Sangjo Han, Byung-chul Lee, Seung Taek Yu, Chan-se...
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