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    BMCBI
    2004
    208views more  BMCBI 2004»
    Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
    13 years 5 months ago
    Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
    Download  www.biomedcentral.com
    Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
    Vadim Alexandrov, Mark Gerstein
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    BMCBI
    2006
    119views more  BMCBI 2006»
    Hidden Markov Model Variants and their Application
    13 years 5 months ago
    Hidden Markov Model Variants and their Application
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    Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
    Stephen Winters-Hilt
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    ISMB
    1998
    98views Computational Biology» more  ISMB 1998»
    Computational Applications of DNA Structural Scales
    13 years 7 months ago
    Computational Applications of DNA Structural Scales
    Download  www.aaai.org
    We study from a computational standpoint several different physicalscales associatedwith structural features of DNA sequences, including dinucleotide scales such as base stacking ...
    Pierre Baldi, Søren Brunak, Yves Chauvin, A...
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    NAR
    2006
    119views more  NAR 2006»
    HHsenser: exhaustive transitive profile search using HMM-HMM comparison
    13 years 5 months ago
    HHsenser: exhaustive transitive profile search using HMM-HMM comparison
    Download  www.eb.tuebingen.mpg.de
    HHsenser is the first server to offer exhaustive intermediate profile searches, which it combines with pairwise comparison of hidden Markov models. Starting from a single protein ...
    Johannes Söding, Michael Remmert, Andreas Bie...
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    PRICAI
    2004
    Springer
    131views Artificial Intelligence» more  PRICAI 2004»
    Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines
    13 years 11 months ago
    Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines
    Download  bi.snu.ac.kr
    Abstract. Infection by high-risk human papillomaviruses (HPVs) is associated with the development of cervical cancers. Classification of risk types is important to understand the ...
    Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang
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