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    BMCBI
    2010
    158views more  BMCBI 2010»
    A Bayesian network approach to feature selection in mass spectrometry data
    13 years 5 months ago
    A Bayesian network approach to feature selection in mass spectrometry data
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    Background: Time-of-flight mass spectrometry (TOF-MS) has the potential to provide non-invasive, high-throughput screening for cancers and other serious diseases via detection of ...
    Karl W. Kuschner, Dariya I. Malyarenko, William E....
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    BMCBI
    2010
    161views more  BMCBI 2010»
    BPDA - A Bayesian peptide detection algorithm for mass spectrometry
    13 years 5 months ago
    BPDA - A Bayesian peptide detection algorithm for mass spectrometry
    Download  www.biomedcentral.com
    Background: Mass spectrometry (MS) is an essential analytical tool in proteomics. Many existing algorithms for peptide detection are based on isotope template matching and usually...
    Youting Sun, Jianqiu Zhang, Ulisses Braga-Neto, Ed...
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    BIOINFORMATICS
    2006
    106views more  BIOINFORMATICS 2006»
    Identification of biochemical networks by S-tree based genetic programming
    13 years 5 months ago
    Identification of biochemical networks by S-tree based genetic programming
    Download  bi.snu.ac.kr
    Motivation: Most previous approaches to model biochemical networks havefocusedeither on the characterization of a networkstructurewith a number of components or on the estimation ...
    Dong-Yeon Cho, Kwang-Hyun Cho, Byoung-Tak Zhang
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    BMCBI
    2011
    224views Artificial Intelligence» more  BMCBI 2011»
    Multithreaded comparative RNA secondary structure prediction using stochastic context-free grammars
    13 years 8 days ago
    Multithreaded comparative RNA secondary structure prediction using stochastic context-free grammars
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    Background: The prediction of the structure of large RNAs remains a particular challenge in bioinformatics, due to the computational complexity and low levels of accuracy of state...
    Zsuzsanna Sukosd, Bjarne Knudsen, Morten Vaerum, J...
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    CVPR
    2009
    IEEE
    606views Computer Vision» more  CVPR 2009»
    Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
    15 years 1 months ago
    Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
    Download  www.cc.gatech.edu
    This paper deals with estimation of dense optical flow and ego-motion in a generalized imaging system by exploiting probabilistic linear subspace constraints on the flow. We dea...
    Richard Roberts (Georgia Institute of Technology),...
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