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    » Probabilistic hierarchical clustering for biological data
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    BMCBI
    2008
    111views more  BMCBI 2008»
    Probabilistic base calling of Solexa sequencing data
    13 years 8 months ago
    Probabilistic base calling of Solexa sequencing data
    Download  www.biomedcentral.com
    Background: Solexa/Illumina short-read ultra-high throughput DNA sequencing technology produces millions of short tags (up to 36 bases) by parallel sequencing-by-synthesis of DNA ...
    Jacques Rougemont, Arnaud Amzallag, Christian Isel...
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    BMCBI
    2007
    116views more  BMCBI 2007»
    Ranked Adjusted Rand: integrating distance and partition information in a measure of clustering agreement
    13 years 8 months ago
    Ranked Adjusted Rand: integrating distance and partition information in a measure of clustering agreement
    Download  www.biomedcentral.com
    Background: Biological information is commonly used to cluster or classify entities of interest such as genes, conditions, species or samples. However, different sources of data c...
    Francisco R. Pinto, João A. Carriço,...
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    RECOMB
    1998
    Springer
    106views Computational Biology» more  RECOMB 1998»
    The hierarchical organization of molecular structure computations
    14 years 2 days ago
    The hierarchical organization of molecular structure computations
    Download  bmir.stanford.edu
    The task of computing molecular structure from combinations of experimental and theoretical constraints is expensive because of the large number of estimated parameters (the 3D co...
    Cheng Che Chen, Jaswinder Pal Singh, Russ B. Altma...
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    TMI
    2010
    182views more  TMI 2010»
    A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data
    13 years 6 months ago
    A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data
    Download  www.cs.cmu.edu
    Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
    Seyoung Kim, Padhraic Smyth, Hal S. Stern
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    BMCBI
    2011
    252views Artificial Intelligence» more  BMCBI 2011»
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    12 years 11 months ago
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    Download  www.biomedcentral.com
    Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
    Raphael Mourad, Christine Sinoquet, Philippe Leray
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