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    » Alignments of RNA Structures
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    APBC
    2007
    73views Bioinformatics» more  APBC 2007»
    Protein Structure-Structure Alignment with Discrete Fr'echet Distance
    13 years 10 months ago
    Protein Structure-Structure Alignment with Discrete Fr'echet Distance
    Download  www.comp.nus.edu.sg
    Minghui Jiang, Ying Xu, Binhai Zhu
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    BIOINFORMATICS
    2007
    85views more  BIOINFORMATICS 2007»
    A structural alignment kernel for protein structures
    13 years 9 months ago
    A structural alignment kernel for protein structures
    Download  noble.gs.washington.edu
    Jian Qiu, Martial Hue, Asa Ben-Hur, Jean-Philippe ...
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    EMNLP
    2007
    110views Natural Language Processing» more  EMNLP 2007»
    Getting the Structure Right for Word Alignment: LEAF
    13 years 10 months ago
    Getting the Structure Right for Word Alignment: LEAF
    Download  www.aclweb.org
    Word alignment is the problem of annotating parallel text with translational correspondence. Previous generative word alignment models have made structural assumptions such as the...
    Alexander Fraser, Daniel Marcu
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    BMCBI
    2010
    175views more  BMCBI 2010»
    Towards high performance computing for molecular structure prediction using IBM Cell Broadband Engine - an implementation perspe
    13 years 9 months ago
    Towards high performance computing for molecular structure prediction using IBM Cell Broadband Engine - an implementation perspe
    Download  www.biomedcentral.com
    Background: RNA structure prediction problem is a computationally complex task, especially with pseudo-knots. The problem is well-studied in existing literature and predominantly ...
    S. P. T. Krishnan, Sim Sze Liang, Bharadwaj Veerav...
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    BMCBI
    2010
    229views more  BMCBI 2010»
    Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
    13 years 9 months ago
    Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
    Download  www.biomedcentral.com
    Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
    Martin Paluszewski, Thomas Hamelryck
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