The necessity of adjusting tests of protein category enrichment in discovery proteomics
暂无分享,去创建一个
[1] E. Kolker,et al. Protein identification and expression analysis using mass spectrometry. , 2006, Trends in microbiology.
[2] Kara Dolinski,et al. Gene Ontology annotations at SGD: new data sources and annotation methods , 2007, Nucleic Acids Res..
[3] Thomas Lengauer,et al. Improved scoring of functional groups from gene expression data by decorrelating GO graph structure , 2006, Bioinform..
[4] John D. Storey,et al. Statistical significance for genomewide studies , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[5] Pablo Tamayo,et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[6] E. O’Shea,et al. Global analysis of protein expression in yeast , 2003, Nature.
[7] Minoru Kanehisa,et al. AAindex: Amino Acid index database , 2000, Nucleic Acids Res..
[8] Rong Wang,et al. The APEX Quantitative Proteomics Tool: Generating protein quantitation estimates from LC-MS/MS proteomics results , 2008, BMC Bioinformatics.
[9] P. McCullagh,et al. Generalized Linear Models, 2nd Edn. , 1990 .
[10] Eugene Kolker,et al. Estimating false discovery rates for peptide and protein identification using randomized databases , 2010, Proteomics.
[11] Eugene Kolker,et al. A predictive model for identifying proteins by a single peptide match , 2007, Bioinform..
[12] Robert Gentleman,et al. Using GOstats to test gene lists for GO term association , 2007, Bioinform..
[13] Winston Haynes,et al. Meta-analysis for protein identification: a case study on yeast data. , 2010, Omics : a journal of integrative biology.
[14] M. Orešič,et al. Pathways to the analysis of microarray data. , 2005, Trends in biotechnology.
[15] M. Mann,et al. Proteomics to study genes and genomes , 2000, Nature.
[16] Eugene Kolker,et al. A note on the false discovery rate and inconsistent comparisons between experiments , 2008, Bioinform..
[17] P. McCullagh,et al. Generalized Linear Models , 1972, Predictive Analytics.
[18] E. Kolker,et al. A Statistical Model of Protein Sequence Similarity and Function Similarity Reveals Overly-Specific Function Predictions , 2009, PloS one.
[19] R. Aebersold,et al. Comparative Functional Analysis of the Caenorhabditis elegans and Drosophila melanogaster Proteomes , 2009, PLoS biology.
[20] Daniel B. Martin,et al. Computational prediction of proteotypic peptides for quantitative proteomics , 2007, Nature Biotechnology.
[21] D. Rubin,et al. The central role of the propensity score in observational studies for causal effects , 1983 .
[22] J. Mesirov,et al. Prediction of high-responding peptides for targeted protein assays by mass spectrometry , 2009, Nature Biotechnology.