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    CIBB
    2008
    81views Artificial Intelligence» more  CIBB 2008»
    A Machine Learning Approach to Mass Spectra Classification with Unsupervised Feature Selection
    13 years 9 months ago
    A Machine Learning Approach to Mass Spectra Classification with Unsupervised Feature Selection
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    Michele Ceccarelli, Antonio d'Acierno, Angelo Facc...
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    BMCBI
    2008
    107views more  BMCBI 2008»
    A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
    13 years 7 months ago
    A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
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    Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
    Cong Zhou, Lucas D. Bowler, Jianfeng Feng
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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
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    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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    EVOW
    2008
    Springer
    195views Artificial Intelligence» more  EVOW 2008»
    A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification
    13 years 9 months ago
    A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification
    Download  bme.aut.ac.ir
    Classifier fusion strategies have shown great potential to enhance the performance of pattern recognition systems. There is an agreement among researchers in classifier combination...
    Amin Assareh, Mohammad Hassan Moradi, L. Gwenn Vol...
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    BMCBI
    2008
    165views more  BMCBI 2008»
    Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics
    13 years 7 months ago
    Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics
    Download  www.biomedcentral.com
    Background: Mass spectrometry is a key technique in proteomics and can be used to analyze complex samples quickly. One key problem with the mass spectrometric analysis of peptides...
    Wiebke Timm, Alexandra Scherbart, Sebastian Bö...
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