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    » Predicting Nucleolar Proteins Using Support-Vector Machines
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    BMCBI
    2008
    105views more  BMCBI 2008»
    Predicting RNA-binding sites of proteins using support vector machines and evolutionary information
    13 years 7 months ago
    Predicting RNA-binding sites of proteins using support vector machines and evolutionary information
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    Cheng-Wei Cheng, Emily Chia-Yu Su, Jenn-Kang Hwang...
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    ESWA
    2006
    122views more  ESWA 2006»
    Transmembrane segments prediction and understanding using support vector machine and decision tree
    13 years 7 months ago
    Transmembrane segments prediction and understanding using support vector machine and decision tree
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    In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...
    Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C...
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    ESWA
    2007
    127views more  ESWA 2007»
    Clustering support vector machines for protein local structure prediction
    13 years 7 months ago
    Clustering support vector machines for protein local structure prediction
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    Understanding the sequence-to-structure relationship is a central task in bioinformatics research. Adequate knowledge about this relationship can potentially improve accuracy for ...
    Wei Zhong, Jieyue He, Robert W. Harrison, Phang C....
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    BMCBI
    2007
    142views more  BMCBI 2007»
    Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary informa
    13 years 7 months ago
    Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary informa
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    Background: In past number of methods have been developed for predicting subcellular location of eukaryotic, prokaryotic (Gram-negative and Gram-positive bacteria) and human prote...
    Mamoon Rashid, Sudipto Saha, Gajendra P. S. Raghav...
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    BMCBI
    2007
    147views more  BMCBI 2007»
    Improved residue contact prediction using support vector machines and a large feature set
    13 years 7 months ago
    Improved residue contact prediction using support vector machines and a large feature set
    Download  www.eecs.ucf.edu
    Background: Predicting protein residue-residue contacts is an important 2D prediction task. It is useful for ab initio structure prediction and understanding protein folding. In s...
    Jianlin Cheng, Pierre Baldi
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