{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T11:38:14Z","timestamp":1773661094286,"version":"3.50.1"},"publisher-location":"Totowa, NJ","reference-count":25,"publisher":"Humana Press","isbn-type":[{"value":"9781617798849","type":"print"},{"value":"9781617798856","type":"electronic"}],"license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-1-61779-885-6_1","type":"book-chapter","created":{"date-parts":[[2012,7,18]],"date-time":"2012-07-18T01:16:01Z","timestamp":1342574161000},"page":"3-21","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Important Issues in Planning a Proteomics Experiment: Statistical Considerations of Quantitative Proteomic Data"],"prefix":"10.1007","author":[{"given":"Katharina","family":"Podwojski","sequence":"first","affiliation":[]},{"given":"Christian","family":"Stephan","sequence":"additional","affiliation":[]},{"given":"Martin","family":"Eisenacher","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2012,5,7]]},"reference":[{"key":"1_CR1","doi-asserted-by":"publisher","first-page":"991","DOI":"10.1038\/nature06525","volume":"450","author":"BF Cravatt","year":"2007","unstructured":"Cravatt BF, Simon GM, Yates JR III (2007) The biological impact of mass-spectrometry-based proteomics. Nature 450:991\u20131000","journal-title":"Nature"},{"key":"1_CR2","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1038\/nature06916","volume":"452","author":"SM Hanash","year":"2008","unstructured":"Hanash SM, Pitteri SJ, Faca VM (2008) Mining the plasma proteome for cancer biomarkers. Nature 452:571\u2013579","journal-title":"Nature"},{"key":"1_CR3","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1038\/nbt1235","volume":"24","author":"N Rifai","year":"2006","unstructured":"Rifai N, Gillette MA, Carr SA (2006) Protein biomarker discovery and validation: the long and uncertain path to clinical utility. Nat Biotechnol 24:971\u2013983","journal-title":"Nat Biotechnol"},{"key":"1_CR4","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1093\/bfgp\/3.4.322","volume":"3","author":"J Hu","year":"2005","unstructured":"Hu J, Coombes KR, Morris JS et al (2005) The importance of experimental design in proteomic mass spectrometry experiments: some cautionary tales. Brief Funct Genomics Proteomics 3:322\u2013331","journal-title":"Brief Funct Genomics Proteomics"},{"key":"1_CR5","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1021\/pr025517j","volume":"1","author":"D Chelius","year":"2002","unstructured":"Chelius D, Bondarenko PV (2002) Quantitative profiling of proteins in complex mixtures using liquid chromatography and mass spectrometry. J Proteome Res 1:317\u2013323","journal-title":"J Proteome Res"},{"key":"1_CR6","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1038\/nchembio736","volume":"1","author":"SE Ong","year":"2005","unstructured":"Ong SE, Mann M (2005) Mass spectrometry-based proteomics turns quantitative. Nat Chem Biol 1:252\u2013262","journal-title":"Nat Chem Biol"},{"key":"1_CR7","doi-asserted-by":"publisher","first-page":"419","DOI":"10.1074\/mcp.R500005-MCP200","volume":"4","author":"J Listgarten","year":"2005","unstructured":"Listgarten J, Emili A (2005) Statistical and computational methods for comparative proteomic profiling using liquid chromatography-tandem mass spectrometry. Mol Cell Proteomics 4:419\u2013434","journal-title":"Mol Cell Proteomics"},{"key":"1_CR8","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1586\/epr.09.107","volume":"7","author":"K Podwojski","year":"2010","unstructured":"Podwojski K, Eisenacher M, Kohl M et al (2010) Peek a peak: a glance at statistics for quantitative label-free proteomics. Expert Rev Proteomics 7:249\u2013261","journal-title":"Expert Rev Proteomics"},{"key":"1_CR9","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1021\/pr700758r","volume":"7","author":"LN Mueller","year":"2008","unstructured":"Mueller LN, Brusniak MY, Mani DR et al (2008) An assessment of software solutions for the analysis of mass spectrometry based quantitative proteomics data. J Proteome Res 7:51\u201361","journal-title":"J Proteome Res"},{"key":"1_CR10","doi-asserted-by":"publisher","first-page":"984","DOI":"10.1074\/mcp.M400061-MCP200","volume":"3","author":"D Radulovic","year":"2004","unstructured":"Radulovic D, Jelveh S, Ryu S et al (2004) Informatics platform for global proteomic profiling and biomarker discovery using liquid chromatography-tandem mass spectrometry. Mol Cell Proteomics 3:984\u2013997","journal-title":"Mol Cell Proteomics"},{"key":"1_CR11","doi-asserted-by":"publisher","first-page":"1902","DOI":"10.1093\/bioinformatics\/btl276","volume":"22","author":"M Bellew","year":"2006","unstructured":"Bellew M, Coram M, Fitzgibbon M et al (2006) A suite of algorithms for the comprehensive analysis of complex protein mixtures using high-resolution LC-MS. Bioinformatics 22:1902\u20131909","journal-title":"Bioinformatics"},{"key":"1_CR12","doi-asserted-by":"publisher","first-page":"1367","DOI":"10.1038\/nbt.1511","volume":"26","author":"J Cox","year":"2008","unstructured":"Cox J, Mann M (2008) MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nat Biotechnol 26:1367\u20131372","journal-title":"Nat Biotechnol"},{"key":"1_CR13","doi-asserted-by":"publisher","first-page":"976","DOI":"10.1016\/1044-0305(94)80016-2","volume":"5","author":"JK Eng","year":"1994","unstructured":"Eng JK, McCormack AL, Yates JR 3rd (1994) An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database. J Am Soc Mass Spectrom 5:976\u2013989","journal-title":"J Am Soc Mass Spectrom"},{"key":"1_CR14","doi-asserted-by":"publisher","first-page":"3551","DOI":"10.1002\/(SICI)1522-2683(19991201)20:18<3551::AID-ELPS3551>3.0.CO;2-2","volume":"20","author":"DN Perkins","year":"1999","unstructured":"Perkins DN, Pappin DJ, Creasy DM et al (1999) Probability-based protein identification by searching sequence databases using mass spectrometry data. Electrophoresis 20:3551\u20133567","journal-title":"Electrophoresis"},{"key":"1_CR15","doi-asserted-by":"publisher","first-page":"1129","DOI":"10.1002\/pmic.200701073","volume":"8","author":"KA Reidegeld","year":"2008","unstructured":"Reidegeld KA, Eisenacher M, Kohl M et al (2008) An easy-to-use Decoy Database Builder software tool, implementing different decoy strategies for false discovery rate calculation in automated MS\/MS protein identifications. Proteomics 8:1129\u20131137","journal-title":"Proteomics"},{"key":"1_CR16","doi-asserted-by":"publisher","first-page":"5383","DOI":"10.1021\/ac025747h","volume":"74","author":"A Keller","year":"2002","unstructured":"Keller A, Nesvizhskii AI, Kolker E et al (2002) Empirical statistical model to estimate the \u00adaccuracy of peptide identifications made by MS\/MS and database search. Anal Chem 74:5383\u20135392","journal-title":"Anal Chem"},{"key":"1_CR17","doi-asserted-by":"publisher","first-page":"4646","DOI":"10.1021\/ac0341261","volume":"75","author":"AI Nesvizhskii","year":"2003","unstructured":"Nesvizhskii AI, Keller A, Kolker E et al (2003) A statistical model for identifying proteins by tandem mass spectrometry. Anal Chem 75:4646\u20134658","journal-title":"Anal Chem"},{"key":"1_CR18","doi-asserted-by":"publisher","first-page":"1419","DOI":"10.1074\/mcp.R500012-MCP200","volume":"4","author":"AI Nesvizhskii","year":"2005","unstructured":"Nesvizhskii AI, Aebersold R (2005) Interpretation of shotgun proteomic data: the protein inference problem. Mol Cell Proteomics 4:1419\u20131440","journal-title":"Mol Cell Proteomics"},{"key":"1_CR19","doi-asserted-by":"publisher","first-page":"4193","DOI":"10.1021\/ac0498563","volume":"76","author":"H Liu","year":"2004","unstructured":"Liu H, Sadygov RG, Yates JR 3rd (2004) A model for random sampling and estimation of relative protein abundance in shotgun proteomics. Anal Chem 76:4193\u20134201","journal-title":"Anal Chem"},{"key":"1_CR20","doi-asserted-by":"publisher","first-page":"1487","DOI":"10.1074\/mcp.M500084-MCP200","volume":"4","author":"WM Old","year":"2005","unstructured":"Old WM, Meyer-Arendt K, Aveline-Wolf L et al (2005) Comparison of label-free methods for quantifying human proteins by shotgun proteomics. Mol Cell Proteomics 4:1487\u20131502","journal-title":"Mol Cell Proteomics"},{"key":"1_CR21","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1002\/pmic.200800417","volume":"9","author":"DA Cairns","year":"2009","unstructured":"Cairns DA, Barrett JH, Billingham LJ et al (2009) Sample size determination in clinical proteomic profiling experiments using mass spectrometry for class comparison. Proteomics 9:74\u201386","journal-title":"Proteomics"},{"key":"1_CR22","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1214\/ss\/1056397487","volume":"18","author":"S Dudoit","year":"2003","unstructured":"Dudoit S, Shaffer JP, Boldrick JC (2003) Multiple hypothesis testing in microarray experiments. Stat Sci 18:71\u2013103","journal-title":"Stat Sci"},{"key":"1_CR23","first-page":"111","volume":"12","author":"S Dudoit","year":"2002","unstructured":"Dudoit S, Yang YH, Callow MJ et al (2002) Statistical methods for identifying differentially expressed genes in replicated cDNA microarray experiments. Stat Sin 12: 111\u2013139","journal-title":"Stat Sin"},{"key":"1_CR24","doi-asserted-by":"publisher","first-page":"78","DOI":"10.4172\/jpb.1000064","volume":"2","author":"K Jung","year":"2009","unstructured":"Jung K, Poschmann G, Podwojski K et al (2009) Adjusted confidence intervals for the expression change of proteins observed in 2-dimensional difference gel electrophoresis. J Proteomics Bioinform 2:78\u201387","journal-title":"J Proteomics Bioinform"},{"key":"1_CR25","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","volume":"57","author":"Y Benjamini","year":"1995","unstructured":"Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc B 57:289\u2013300","journal-title":"J R Stat Soc B"}],"container-title":["Methods in Molecular Biology","Quantitative Methods in Proteomics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-61779-885-6_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,27]],"date-time":"2024-04-27T04:01:26Z","timestamp":1714190486000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-1-61779-885-6_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9781617798849","9781617798856"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-1-61779-885-6_1","relation":{},"ISSN":["1064-3745","1940-6029"],"issn-type":[{"value":"1064-3745","type":"print"},{"value":"1940-6029","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012]]},"assertion":[{"value":"7 May 2012","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}