When target-decoy false discovery rate estimations are inaccurate and how to spot instances.
暂无分享,去创建一个
[1] A. Nesvizhskii. A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics. , 2010, Journal of proteomics.
[2] P. Pevzner,et al. Target-Decoy Approach and False Discovery Rate: When Things May Go Wrong , 2011, Journal of the American Society for Mass Spectrometry.
[3] Peter R Baker,et al. Improving Software Performance for Peptide Electron Transfer Dissociation Data Analysis by Implementation of Charge State- and Sequence-Dependent Scoring* , 2010, Molecular & Cellular Proteomics.
[4] Leonard J Foster. Bromenshenk et al (PLoS One, 2011, 5(10):e13181) have claimed to have found peptides from an invertebrate iridovirus in bees. , 2012, Molecular & cellular proteomics : MCP.
[5] Bret Cooper,et al. The problem with peptide presumption and the downfall of target-decoy false discovery rates. , 2012, Analytical chemistry.
[6] S. Carr,et al. Reporting Protein Identification Data , 2006, Molecular & Cellular Proteomics.
[7] 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.
[8] Leonard J. Foster,et al. Interpretation of Data Underlying the Link Between Colony Collapse Disorder (CCD) and an Invertebrate Iridescent Virus , 2011, Molecular & Cellular Proteomics.
[9] William Stafford Noble,et al. Improvements to the percolator algorithm for Peptide identification from shotgun proteomics data sets. , 2009, Journal of proteome research.
[10] Robert J. Chalkley,et al. The Effect of Using an Inappropriate Protein Database for Proteomic Data Analysis , 2011, PloS one.