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nedwards's machine-learning [7 articles]

当前文献位于 nedwards's 文献库 标签分类为 machine-learning. You can also see everyone's machine-learning.
  • Semisupervised model-based validation of Peptide identifications in mass spectrometry-based proteomics.
    J Proteome Res, Vol. 7, No. 1. (January 2008), pp. 254-265.
    by H Choi, AI Nesvizhskii
  • Improving Sensitivity by Probabilistically Combining Results from Multiple MS/MS Search Methodologies
    J. Proteome Res., Vol. 7, No. 1. (4 January 2008), pp. 245-253.
    by Brian C Searle, Mark Turner, Alexey I Nesvizhskii
  • Semi-supervised learning for peptide identification from shotgun proteomics datasets
    Nature Methods, Vol. 4, No. 11. (21 October 2007), pp. 923-925.
    by Lukas Käll, Jesse D Canterbury, Jason Weston, William S Noble, Michael J Maccoss
  • Artificial Neural Network Analysis for Evaluation of Peptide MS/MS Spectra in Proteomics
    Anal. Chem., Vol. 76, No. 6. (15 March 2004), pp. 1726-1732.
  • Estimating the Statistical Significance of Peptide Identifications from Shotgun Proteomics Experiments
    J. Proteome Res., Vol. 6, No. 5. (4 May 2007), pp. 1758-1767.
    by RE Higgs, MD Knierman, A Bonnerfreeman, LM Gelbert, ST Patil, JE Hale
  • A New Algorithm for the Evaluation of Shotgun Peptide Sequencing in Proteomics: Support Vector Machine Classification of Peptide MS/MS Spectra and SEQUEST Scores
    J. Proteome Res., Vol. 2, No. 2. (1 April 2003), pp. 137-146.
    by DC Anderson, W Li, DG Payan, WS Noble
  • Improved classification of mass spectrometry database search results using newer machine learning approaches.
    Mol Cell Proteomics, Vol. 5, No. 3. (March 2006), pp. 497-509.
    by PJ Ulintz, J Zhu, ZS Qin, PC Andrews
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