Non-parametric estimation of posterior error probabilities associated with peptides identified by tandem mass spectrometry
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[1] Chong Gu,et al. Cross-Validating Non-Gaussian Data , 1992 .
[2] William Stafford Noble,et al. Assigning significance to peptides identified by tandem mass spectrometry using decoy databases. , 2008, Journal of proteome research.
[3] Aaron A. Klammer,et al. Effects of modified digestion schemes on the identification of proteins from complex mixtures. , 2006, Journal of proteome research.
[4] Steven P Gygi,et al. Intensity-based protein identification by machine learning from a library of tandem mass spectra , 2004, Nature Biotechnology.
[5] B. Silverman,et al. Nonparametric Regression and Generalized Linear Models: A roughness penalty approach , 1993 .
[6] J. Anderson,et al. Penalized maximum likelihood estimation in logistic regression and discrimination , 1982 .
[7] D. Cox. Nonparametric Regression and Generalized Linear Models: A roughness penalty approach , 1993 .
[8] Roger E. Moore,et al. Qscore: An algorithm for evaluating SEQUEST database search results , 2002, Journal of the American Society for Mass Spectrometry.
[9] Alexey I Nesvizhskii,et al. Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search. , 2002, Analytical chemistry.
[10] William Stafford Noble,et al. Peptide charge state determination for low-resolution tandem mass spectra , 2005, 2005 IEEE Computational Systems Bioinformatics Conference (CSB'05).
[11] B. Sorić. Statistical “Discoveries” and Effect-Size Estimation , 1989 .
[12] Robertson Craig,et al. TANDEM: matching proteins with tandem mass spectra. , 2004, Bioinformatics.
[13] J. Yates,et al. Large-scale analysis of the yeast proteome by multidimensional protein identification technology , 2001, Nature Biotechnology.
[14] William Stafford Noble,et al. Semi-supervised learning for peptide identification from shotgun proteomics datasets , 2007, Nature Methods.
[15] Xin Liu,et al. A nonparametric model for quality control of database search results in shotgun proteomics , 2007, BMC Bioinformatics.
[16] G. Wahba. Bayesian "Confidence Intervals" for the Cross-validated Smoothing Spline , 1983 .
[17] D. N. Perkins,et al. Probability‐based protein identification by searching sequence databases using mass spectrometry data , 1999, Electrophoresis.
[18] Richard E Higgs,et al. Estimating the statistical significance of peptide identifications from shotgun proteomics experiments. , 2007, Journal of proteome research.
[19] Jian Feng,et al. Probability-based pattern recognition and statistical framework for randomization: modeling tandem mass spectrum/peptide sequence false match frequencies , 2007, Bioinform..
[20] R. Aebersold,et al. A statistical model for identifying proteins by tandem mass spectrometry. , 2003, Analytical chemistry.
[21] David Goldberg,et al. Lookup peaks: a hybrid of de novo sequencing and database search for protein identification by tandem mass spectrometry. , 2007, Analytical chemistry.
[22] John D. Storey,et al. Multiple Locus Linkage Analysis of Genomewide Expression in Yeast , 2005, PLoS biology.
[23] John D. Storey,et al. Statistical significance for genomewide studies , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[24] John D. Storey,et al. Empirical Bayes Analysis of a Microarray Experiment , 2001 .
[25] J. Yates,et al. An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database , 1994, Journal of the American Society for Mass Spectrometry.
[26] John D. Storey. A direct approach to false discovery rates , 2002 .
[27] William Stafford Noble,et al. A new algorithm for the evaluation of shotgun peptide sequencing in proteomics: support vector machine classification of peptide MS/MS spectra and SEQUEST scores. , 2003, Journal of proteome research.
[28] A. Masselot,et al. OLAV: Towards high‐throughput tandem mass spectrometry data identification , 2003, Proteomics.
[29] D. Ghosh,et al. Statistical validation of peptide identifications in large-scale proteomics using the target-decoy database search strategy and flexible mixture modeling. , 2008, Journal of proteome research.
[30] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[31] Hyungwon Choi,et al. Semisupervised model-based validation of peptide identifications in mass spectrometry-based proteomics. , 2008, Journal of Proteome Research.
[32] P. Pevzner,et al. InsPecT: identification of posttranslationally modified peptides from tandem mass spectra. , 2005, Analytical chemistry.