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    » Predicting Nucleolar Proteins Using Support-Vector Machines
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    IDEAL
    2005
    Springer
    124views Intelligent Agents» more  IDEAL 2005»
    Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers
    14 years 26 days ago
    Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers
    Download  poincare.matf.bg.ac.rs
    Promiscuous human leukocyte antigen (HLA) binding peptides are ideal targets for vaccine development. Existing computational models for prediction of promiscuous peptides used hidd...
    Ivana Bozic, Guanglan Zhang, Vladimir Brusic
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    BMCBI
    2011
    255views Artificial Intelligence» more  BMCBI 2011»
    Conotoxin Protein Classification Using Free Scores of Words and Support Vector Machines
    12 years 11 months ago
    Conotoxin Protein Classification Using Free Scores of Words and Support Vector Machines
    Download  faculty.uaeu.ac.ae
    Background: Conotoxin has been proven to be effective in drug design and could be used to treat various disorders such as schizophrenia, neuromuscular disorders and chronic pain. ...
    Nazar Zaki, Stefan Wolfsheimer, Grégory Nue...
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    BMCBI
    2011
    230views Artificial Intelligence» more  BMCBI 2011»
    DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learning
    13 years 2 months ago
    DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learning
    Download  www.biomedcentral.com
    Background: Accurate identification of protein domain boundaries is useful for protein structure determination and prediction. However, predicting protein domain boundaries from a...
    Jesse Eickholt, Xin Deng, Jianlin Cheng
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    RECOMB
    2002
    Springer
    195views Computational Biology» more  RECOMB 2002»
    Combining pairwise sequence similarity and support vector machines for remote protein homology detection
    14 years 7 months ago
    Combining pairwise sequence similarity and support vector machines for remote protein homology detection
    Download  noble.gs.washington.edu
    One key element in understanding the molecular machinery of the cell is to understand the meaning, or function, of each protein encoded in the genome. A very successful means of i...
    Li Liao, William Stafford Noble
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    OSDI
    2008
    ACM
    191views Operating System» more  OSDI 2008»
    Predicting Computer System Failures Using Support Vector Machines
    14 years 7 months ago
    Predicting Computer System Failures Using Support Vector Machines
    Download  www.usenix.org
    Mitigating the impact of computer failure is possible if accurate failure predictions are provided. Resources, applications, and services can be scheduled around predicted failure...
    Errin W. Fulp, Glenn A. Fink, Jereme N. Haack
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