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    PSB
    2001
    67views Applied Computing» more  PSB 2001»
    A Model for Phylogenetic Inference Using Structural and Chemical Covariates
    13 years 6 months ago
    A Model for Phylogenetic Inference Using Structural and Chemical Covariates
    Download  helix-web.stanford.edu
    Simon Tavaré, Dean C. Adams, Olivier Fedrig...
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    JMLR
    2008
    141views more  JMLR 2008»
    Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models
    13 years 4 months ago
    Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models
    Download  jmlr.csail.mit.edu
    In graphical modelling, a bi-directed graph encodes marginal independences among random variables that are identified with the vertices of the graph. We show how to transform a bi...
    Mathias Drton, Thomas S. Richardson
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    TSP
    2010
    144views Artificial Intelligence» more  TSP 2010»
    Gaussian multiresolution models: exploiting sparse Markov and covariance structure
    12 years 11 months ago
    Gaussian multiresolution models: exploiting sparse Markov and covariance structure
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    We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
    Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
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    BMCBI
    2006
    161views more  BMCBI 2006»
    A novel approach to phylogenetic tree construction using stochastic optimization and clustering
    13 years 4 months ago
    A novel approach to phylogenetic tree construction using stochastic optimization and clustering
    Download  www.biomedcentral.com
    Background: The problem of inferring the evolutionary history and constructing the phylogenetic tree with high performance has become one of the major problems in computational bi...
    Ling Qin, Yixin Chen, Yi Pan, Ling Chen
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    BMCBI
    2008
    128views more  BMCBI 2008»
    Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure
    13 years 5 months ago
    Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure
    Download  www.biomedcentral.com
    Background: Amino acid sequence probability distributions, or profiles, have been used successfully to predict secondary structure and local structure in proteins. Profile models ...
    Christopher Bystroff, Bobbie-Jo M. Webb-Robertson
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