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nedwards's peptide-identification-statistics [33 articles]

当前文献位于 nedwards's 文献库 标签分类为 peptide-identification-statistics. You can also see everyone's peptide-identification-statistics.
  • Linear Discriminant Analysis-Based Estimation of the False Discovery Rate for Phosphopeptide Identifications
    J. Proteome Res. (19 April 2008)
    by Xiuxia Du, Feng Yang, Nathan P Manes, David L Stenoien, Matthew E Monroe, Joshua N Adkins, David J States, Samuel O Purvine, Ii Camp, Richard D Smith
  • Calibrating E-values for MS2 database search methods
    Biology Direct, Vol. 2 (05 November 2007), 26.
    by Gelio Alves, Aleksey Y Ogurtsov, Wells W Wu, Guanghui Wang, Rong-Fong Shen, Yi-Kuo Yu
  • 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
  • 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
  • HMMatch: Peptide Identification by Spectral Matching of Tandem Mass Spectra Using Hidden Markov Models
    Journal of Computational Biology, Vol. 14, No. 8. (2007), pp. 1025-1043.
    by Xue Wu, Chau-Wen Tseng, Nathan Edwards
  • Analysis and validation of proteomic data generated by tandem mass spectrometry
    Nat Meth, Vol. 4, No. 10. (October 2007), pp. 787-797.
    by Alexey Nesvizhskii, Olga Vitek, Ruedi Aebersold
  • ProbIDtree: An automated software program capable of identifying multiple peptides from a single collision-induced dissociation spectrum collected by a tandem mass spectrometer
    PROTEOMICS, Vol. 5, No. 16. (2005), pp. 4096-4106.
    by Ning Zhang, Xiao-Jun Li, Mingliang Ye, Sheng Pan, Benno Schwikowski, Ruedi Aebersold
  • Intensity-Based Statistical Scorer for Tandem Mass Spectrometry
    Anal. Chem., Vol. 75, No. 3. (1 February 2003), pp. 435-444.
  • Comparison of probability and likelihood models for peptide identification from tandem mass spectrometry data.
    J Proteome Res, Vol. 4, No. 5. (t 2005), pp. 1687-1698.
  • High-performance peptide identification by tandem mass spectrometry allows reliable automatic data processing in proteomics.
    Proteomics, Vol. 4, No. 7. (July 2004), pp. 1977-1984.
  • OLAV: towards high-throughput tandem mass spectrometry data identification.
    Proteomics, Vol. 3, No. 8. (August 2003), pp. 1454-1463.
  • A Statistical Basis for Testing the Significance of Mass Spectrometric Protein Identification Results
    Anal. Chem., Vol. 72, No. 5. (1 March 2000), pp. 999-1005.
    by J Eriksson, BT Chait, D Fenyo
  • ProbID: A probabilistic algorithm to identify peptides through sequence database searching using tandem mass spectral data
    PROTEOMICS, Vol. 2, No. 10. (2002), pp. 1406-1412.
    by Ning Zhang, Ruedi Aebersold, Benno Schwikowski
  • A Hypergeometric Probability Model for Protein Identification and Validation Using Tandem Mass Spectral Data and Protein Sequence Databases
    Anal. Chem., Vol. 75, No. 15. (1 August 2003), pp. 3792-3798.
    by RG Sadygov, JR Yates
  • Prediction of Error Associated with False-Positive Rate Determination for Peptide Identification in Large-Scale Proteomics Experiments Using a Combined Reverse and Forward Peptide Sequence Database Strategy
    J. Proteome Res., Vol. 6, No. 1. (5 January 2007), pp. 392-398.
    by EL Huttlin, AD Hegeman, AC Harms, MR Sussman
  • 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.
  • Empirical Statistical Model To Estimate the Accuracy of Peptide Identifications Made by MS/MS and Database Search
    Anal. Chem., Vol. 74, No. 20. (15 October 2002), pp. 5383-5392.
  • Comprehensive yeast proteome analysis using a capillary isoelectric focusing-based multidimensional separation platform coupled with ESI-MS/MS
    PROTEOMICS, Vol. 7, No. 8. (2007), pp. 1178-1187.
    by Weijie Wang, Tong Guo, Tao Song, Cheng S Lee, Brian M Balgley
  • Comparative Evaluation of Tandem MS Search Algorithms Using a Target-Decoy Search Strategy
    Mol Cell Proteomics, Vol. 6, No. 9. (1 September 2007), pp. 1599-1608.
    by Brian M Balgley, Tom Laudeman, Li Yang, Tao Song, Cheng S Lee
  • 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
  • Identification of bacteria using tandem mass spectrometry combined with a proteome database and statistical scoring.
    Anal Chem, Vol. 76, No. 8. (15 April 2004), pp. 2355-2366.
    by JP Dworzanski, AP Snyder, R Chen, H Zhang, D Wishart, L Li
  • Statistical models for protein validation using tandem mass spectral data and protein amino acid sequence databases.
    Anal Chem, Vol. 76, No. 6. (15 March 2004), pp. 1664-1671.
    by RG Sadygov, H Liu, JR Yates
  • Qscore: an algorithm for evaluating SEQUEST database search results.
    J Am Soc Mass Spectrom, Vol. 13, No. 4. (April 2002), pp. 378-386.
    by RE Moore, MK Young, TD Lee
  • Probability-based validation of protein identifications using a modified SEQUEST algorithm.
    Anal Chem, Vol. 74, No. 21. (1 November 2002), pp. 5593-5599.
    by MJ MacCoss, CC Wu, JR Yates
  • A model for random sampling and estimation of relative protein abundance in shotgun proteomics.
    Anal Chem, Vol. 76, No. 14. (15 July 2004), pp. 4193-4201.
    by H Liu, RG Sadygov, JR Yates
  • Randomized sequence databases for tandem mass spectrometry peptide and protein identification.
    OMICS, Vol. 9, No. 4. (2005), pp. 364-379.
    by R Higdon, JM Hogan, G Van Belle, E Kolker
  • The probability distribution for a random match between an experimental-theoretical spectral pair in tandem mass spectrometry.
    J Bioinform Comput Biol, Vol. 3, No. 2. (April 2005), pp. 455-476.
  • 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
  • An evaluation, comparison, and accurate benchmarking of several publicly available MS/MS search algorithms: Sensitivity and specificity analysis
    PROTEOMICS, Vol. 5, No. 13. (2005), pp. 3475-3490.
    by Eugene A Kapp, Frédéric Schütz, Lisa M Connolly, John A Chakel, Jose E Meza, Christine A Miller, David Fenyo, Jimmy K Eng, Joshua N Adkins, Gilbert S Omenn, Richard J Simpson
  • Open Mass Spectrometry Search Algorithm
    (1 Jun 2004)
    by Lewis Y Geer, Sanford P Markey, Jeffrey A Kowalak, Lukas Wagner, Ming Xu, Dawn M Maynard, Xiaoyu Yang, Wenyao Shi, Stephen H Bryant
  • 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
  • A hypergeometric probability model for protein identification and validation using tandem mass spectral data and protein sequence databases.
    Anal Chem, Vol. 75, No. 15. (1 August 2003), pp. 3792-3798.
    by RG Sadygov, JR Yates
  • Comparative evaluation of mass spectrometry platforms used in large-scale proteomics investigations
    Nature Methods, Vol. 2, No. 9. (23 August 2005), pp. 667-675.
    by Joshua E Elias, Wilhelm Haas, Brendan K Faherty, Steven P Gygi
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