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    BMCBI
    2006
    165views more  BMCBI 2006»
    Improved variance estimation of classification performance via reduction of bias caused by small sample size
    13 years 10 months ago
    Improved variance estimation of classification performance via reduction of bias caused by small sample size
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    Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
    Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
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    BMCBI
    2006
    114views more  BMCBI 2006»
    Epigenetic acquisition of inducibility of type III cytotoxicity in P. aeruginosa
    13 years 10 months ago
    Epigenetic acquisition of inducibility of type III cytotoxicity in P. aeruginosa
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    Background: Pseudomonas aeruginosa, an opportunistic pathogen, is often encountered in chronic lung diseases such as cystic fibrosis or chronic obstructive pneumonia, as well as a...
    Didier Filopon, Annabelle Mérieau, Gilles B...
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    JMLR
    2008
    168views more  JMLR 2008»
    Max-margin Classification of Data with Absent Features
    13 years 9 months ago
    Max-margin Classification of Data with Absent Features
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    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 9 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
    117views more  BMCBI 2005»
    An SVM-based system for predicting protein subnuclear localizations
    13 years 9 months ago
    An SVM-based system for predicting protein subnuclear localizations
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    Background: The large gap between the number of protein sequences in databases and the number of functionally characterized proteins calls for the development of a fast computatio...
    Zhengdeng Lei, Yang Dai
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