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    » On Discriminative Semi-Supervised Classification
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    BMCBI
    2010
    151views more  BMCBI 2010»
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    13 years 8 months ago
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    Download  www.biomedcentral.com
    Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
    Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
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    RECOMB
    2005
    Springer
    147views Computational Biology» more  RECOMB 2005»
    Learning Interpretable SVMs for Biological Sequence Classification
    14 years 8 months ago
    Learning Interpretable SVMs for Biological Sequence Classification
    Download  eprints.pascal-network.org
    Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
    Christin Schäfer, Gunnar Rätsch, Sö...
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    JMLR
    2008
    168views more  JMLR 2008»
    Max-margin Classification of Data with Absent Features
    13 years 8 months ago
    Max-margin Classification of Data with Absent Features
    Download  ai.stanford.edu
    We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
    Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
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    JCB
    2006
    138views more  JCB 2006»
    Recognition and Classification of Histones Using Support Vector Machine
    13 years 8 months ago
    Recognition and Classification of Histones Using Support Vector Machine
    Download  bio.dfci.harvard.edu
    Histones are DNA-binding proteins found in the chromatin of all eukaryotic cells. They are highly conserved and can be grouped into five major classes: H1/H5, H2A, H2B, H3, and H4...
    Manoj Bhasin, Ellis L. Reinherz, Pedro A. Reche
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    BMCBI
    2005
    118views more  BMCBI 2005»
    Feature selection and nearest centroid classification for protein mass spectrometry
    13 years 7 months ago
    Feature selection and nearest centroid classification for protein mass spectrometry
    Download  www.biomedcentral.com
    Background: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard super...
    Ilya Levner
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