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    BMCBI
    2008
    108views more  BMCBI 2008»
    A nonparametric model for quality control of database search results in shotgun proteomics
    13 years 7 months ago
    A nonparametric model for quality control of database search results in shotgun proteomics
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    Background: Analysis of complex samples with tandem mass spectrometry (MS/MS) has become routine in proteomic research. However, validation of database search results creates a bo...
    Jiyang Zhang, Jianqi Li, Xin Liu, Hongwei Xie, Yun...
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    BMCBI
    2008
    86views more  BMCBI 2008»
    Subfamily specific conservation profiles for proteins based on n-gram patterns
    13 years 7 months ago
    Subfamily specific conservation profiles for proteins based on n-gram patterns
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    Background: A new algorithm has been developed for generating conservation profiles that reflect the evolutionary history of the subfamily associated with a query sequence. It is ...
    John K. Vries, Xiong Liu
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    BMCBI
    2007
    127views more  BMCBI 2007»
    The EIPeptiDi tool: enhancing peptide discovery in ICAT-based LC MS/MS experiments
    13 years 7 months ago
    The EIPeptiDi tool: enhancing peptide discovery in ICAT-based LC MS/MS experiments
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    Background: Isotope-coded affinity tags (ICAT) is a method for quantitative proteomics based on differential isotopic labeling, sample digestion and mass spectrometry (MS). The me...
    Mario Cannataro, Giovanni Cuda, Marco Gaspari, Ser...
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    JMLR
    2010
    117views more  JMLR 2010»
    Bayesian Online Learning for Multi-label and Multi-variate Performance Measures
    13 years 2 months ago
    Bayesian Online Learning for Multi-label and Multi-variate Performance Measures
    Download  jmlr.csail.mit.edu
    Many real world applications employ multivariate performance measures and each example can belong to multiple classes. The currently most popular approaches train an SVM for each ...
    Xinhua Zhang, Thore Graepel, Ralf Herbrich
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    BMCBI
    2011
    268views Artificial Intelligence» more  BMCBI 2011»
    A novel approach to the clustering of microarray data via nonparametric density estimation
    13 years 2 months ago
    A novel approach to the clustering of microarray data via nonparametric density estimation
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    Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
    Riccardo De Bin, Davide Risso
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