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    BMCBI
    2007
    146views more  BMCBI 2007»
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
    13 years 7 months ago
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
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    Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
    Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
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    FGR
    2008
    IEEE
    135views Biometrics» more  FGR 2008»
    Generalized adaptive view-based appearance model: Integrated framework for monocular head pose estimation
    14 years 2 months ago
    Generalized adaptive view-based appearance model: Integrated framework for monocular head pose estimation
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    Accurately estimating the person’s head position and orientation is an important task for a wide range of applications such as driver awareness and human-robot interaction. Over...
    Louis-Philippe Morency, Jacob Whitehill, Javier R....
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    CRV
    2011
    IEEE
    305views Robotics» more  CRV 2011»
    Motion Segmentation by Learning Homography Matrices from Motor Signals
    12 years 7 months ago
    Motion Segmentation by Learning Homography Matrices from Motor Signals
    Download  www.cs.utexas.edu
    —Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
    Changhai Xu, Jingen Liu, Benjamin Kuipers
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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 7 months ago
    Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
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    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
    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
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    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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