{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T00:32:33Z","timestamp":1776817953838,"version":"3.51.2"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"S1","license":[{"start":{"date-parts":[[2011,10,8]],"date-time":"2011-10-08T00:00:00Z","timestamp":1318032000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Metabolomics"],"published-print":{"date-parts":[[2012,6]]},"DOI":"10.1007\/s11306-011-0366-4","type":"journal-article","created":{"date-parts":[[2011,10,7]],"date-time":"2011-10-07T19:15:27Z","timestamp":1318014927000},"page":"161-174","source":"Crossref","is-referenced-by-count":187,"title":["Missing values in mass spectrometry based metabolomics: an undervalued step in the data processing pipeline"],"prefix":"10.1007","volume":"8","author":[{"given":"Olga","family":"Hrydziuszko","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark R.","family":"Viant","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2011,10,8]]},"reference":[{"issue":"6","key":"366_CR1","doi-asserted-by":"crossref","first-page":"1202","DOI":"10.1002\/pmic.200800576","volume":"10","author":"D Albrecht","year":"2010","unstructured":"Albrecht, D., Kniemeyer, O., Brakhage, A. A., & Guthke, R. (2010). Missing values in gell based proteomics. Proteomics, 10(6), 1202\u20131211.","journal-title":"Proteomics"},{"key":"366_CR2","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/S0169-7439(98)00010-0","volume":"42","author":"CA Andersson","year":"1998","unstructured":"Andersson, C. A., & Bro, R. (1998). Improving the speed of multi-way algorithms. Part I. Tucker 3. Chemometrics and Intelligent Laboratory Systems, 42, 93\u2013103.","journal-title":"Chemometrics and Intelligent Laboratory Systems"},{"key":"366_CR3","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. Journal of the Royal Statistical Society: Series B, 57, 289\u2013300.","journal-title":"Journal of the Royal Statistical Society: Series B"},{"key":"366_CR5","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1186\/1471-2105-12-254","volume":"12","author":"L Blanchet","year":"2011","unstructured":"Blanchet, L., Smolinska, A., Attali, A., Stoop, M. P., Ampt, K. A. M., van Aken, H., et al. (2011). Fusion of metabolomics and proteomics data for biomarkers discovery: Case study on the experimental autoimmune encephalomyelitis. BMC Bioinformatics, 12, 254.","journal-title":"BMC Bioinformatics"},{"key":"366_CR6","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/s11306-006-0037-z","volume":"2","author":"DI Broadhurst","year":"2006","unstructured":"Broadhurst, D. I., & Kell, D. B. (2006). Statistical strategies for avoiding false discoveries in metabolomics and related experiments. Metabolomics, 2, 171\u2013196.","journal-title":"Metabolomics"},{"key":"366_CR8","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1186\/1471-2105-5-114","volume":"5","author":"AG Brevern de","year":"2004","unstructured":"de Brevern, A. G., Hazout, S., & Malpertuy, A. (2004). Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering. BMC Bioinformatics, 5, 114.","journal-title":"BMC Bioinformatics"},{"key":"366_CR9","doi-asserted-by":"crossref","first-page":"1221","DOI":"10.1111\/j.1600-6143.2008.02249.x","volume":"8","author":"V Defamie","year":"2008","unstructured":"Defamie, V. (2008). Gene expression profiling of human liver transplants identifies an early transcriptional signature associated with initial poor graft function. American Journal of Transplantation, 8, 1221\u20131236.","journal-title":"American Journal of Transplantation"},{"key":"366_CR10","doi-asserted-by":"crossref","first-page":"4281","DOI":"10.1021\/ac051632c","volume":"78","author":"F Dieterle","year":"2006","unstructured":"Dieterle, F., Ross, A., Scholtterbeck, G., & Senn, H. (2006). Probabilistic quotient normalization as robust method to account for dilution of complex biological mixtures. Application in 1H NMR metabolomics. Analytical Chemistry, 78, 4281\u20134290.","journal-title":"Analytical Chemistry"},{"key":"366_CR12","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.tibtech.2004.03.007","volume":"22","author":"R Goodacre","year":"2004","unstructured":"Goodacre, R., Vaidyanathan, S., Dunn, W. B., Harrigan, G., & Kell, D. B. (2004). Metabolomics by numbers: Acquiring and understanding global metabolite data. Trends in Biotechnology, 22, 245\u2013252.","journal-title":"Trends in Biotechnology"},{"key":"366_CR16","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1089\/omi.2009.0139","volume":"14","author":"O Hrydziuszko","year":"2010","unstructured":"Hrydziuszko, O., Silva, M. A., Perera, T. P. R., Richards, D. A., Murphy, N., Mirza, D., et al. (2010). Application of metabolomics to investigate the process of human orthotopic liver transplantation: A proof-of-principle study. OMICS: A Journal of Integrative Biology, 14, 143\u2013150.","journal-title":"OMICS: A Journal of Integrative Biology"},{"key":"366_CR17","doi-asserted-by":"crossref","first-page":"4155","DOI":"10.1093\/bioinformatics\/bti638","volume":"21","author":"R Jornsten","year":"2005","unstructured":"Jornsten, R., Wang, H., Welsh, W., & Ouyang, M. (2005). DNA microarray data imputation and significance analysis of differential expression. Bioinformatics, 21, 4155\u20134161.","journal-title":"Bioinformatics"},{"key":"366_CR18","doi-asserted-by":"crossref","first-page":"D480","DOI":"10.1093\/nar\/gkm882","volume":"36","author":"M Kanehisa","year":"2008","unstructured":"Kanehisa, M., Araki, M., Goto, S., Hattori, M., Hirakawa, M., & Itoh, M. (2008). KEGG for linking genomes to life and the environment. Nucleic Acids Research, 36, D480\u2013D484.","journal-title":"Nucleic Acids Research"},{"key":"366_CR19","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1161\/HYPERTENSIONAHA.110.157297","volume":"56","author":"LC Kenny","year":"2010","unstructured":"Kenny, L. C., Broadhurst, D. I., Dunn, W., Brown, M., North, R. A., McCowan, L., et al. (2010). Robust early pregnancy prediction of later preeclampsia using metabolomics biomarkers. Hypertension, 56, 741\u2013749.","journal-title":"Hypertension"},{"key":"366_CR20","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1186\/1471-2105-5-160","volume":"5","author":"KY Kim","year":"2004","unstructured":"Kim, K. Y., Kim, B. J., & Yi, G. S. (2004). Reuse of imputed data in microarray analysis increases imputation efficiency. BMC Bioinformatics, 5, 160.","journal-title":"BMC Bioinformatics"},{"key":"366_CR21","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1093\/bioinformatics\/btl555","volume":"23","author":"DW Kim","year":"2007","unstructured":"Kim, D. W., Lee, K. Y., Lee, K. H., & Lee, D. (2007). Towards clustering of incomplete microarray data without the use imputation. Bioinformatics, 23, 107\u2013113.","journal-title":"Bioinformatics"},{"key":"366_CR22","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1159\/000102982","volume":"39","author":"M Kincius","year":"2007","unstructured":"Kincius, M., Liang, A., Nickkholgh, K., Hoffmann, C., Flechtenmacher, C., Ryschich, E., et al. (2007). Taurine protects from liver injury after warm ischemia in rats: The role of Kupffer cells. European Surgical Research, 39, 275\u2013283.","journal-title":"European Surgical Research"},{"key":"366_CR23","doi-asserted-by":"crossref","first-page":"1198","DOI":"10.1080\/01621459.1988.10478722","volume":"83","author":"RJA Little","year":"1998","unstructured":"Little, R. J. A. (1998). A test of missing completely at random for multivariate data with missing values. Journal of the American Statistical Association, 83, 1198\u20131202.","journal-title":"Journal of the American Statistical Association"},{"key":"366_CR24","doi-asserted-by":"crossref","DOI":"10.1002\/9781119013563","volume-title":"Statistical analysis with missing data","author":"RJA Little","year":"2002","unstructured":"Little, R. J. A., & Rubin, D. B. (2002). Statistical analysis with missing data. New Jersey: John Wiley & Sons."},{"key":"366_CR25","doi-asserted-by":"crossref","first-page":"2088","DOI":"10.1093\/bioinformatics\/btg287","volume":"19","author":"S Oba","year":"2003","unstructured":"Oba, S., Sato, M., Takemasa, I., Monden, M., et al. (2003). A Bayesian missing values estimation method for gene expression profile data. Bioinformatics, 19, 2088\u20132096.","journal-title":"Bioinformatics"},{"key":"366_CR26","doi-asserted-by":"crossref","first-page":"478","DOI":"10.1039\/B808986H","volume":"134","author":"HM Parsons","year":"2009","unstructured":"Parsons, H. M., Ekman, D. R., Collette, T. W., & Viant, M. R. (2009). Spectral relative standard deviation: A practical benchmark in metabolomics. Analyst, 134, 478\u2013484.","journal-title":"Analyst"},{"key":"366_CR27","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1186\/1471-2105-8-234","volume":"8","author":"HM Parsons","year":"2007","unstructured":"Parsons, H. M., Ludwig, C., G\u00fcnther, U. L., & Viant, M. R. (2007). Improved classification accuracy in 1- and 2- dimensional NMR metabolomics data using the variance stabilizing generalised logarithm transformation. BMC Bioinformatics, 8, 234.","journal-title":"BMC Bioinformatics"},{"key":"366_CR28","doi-asserted-by":"crossref","first-page":"1087","DOI":"10.1016\/j.jasms.2009.02.001","volume":"20","author":"TG Payne","year":"2009","unstructured":"Payne, T. G., Southam, A. D., Arvanitis, T. N., & Viant, M. R. (2009). A signal filtering method for improved quantification and noise discrimination in Fourier transform ion cyclotron resonance mass spectrometry-based metabolomics data. Journal of American Society for Mass Spectrometry, 20, 1087\u20131095.","journal-title":"Journal of American Society for Mass Spectrometry"},{"key":"366_CR29","doi-asserted-by":"crossref","first-page":"1371","DOI":"10.1002\/pmic.200700975","volume":"8","author":"R Pedreschi","year":"2008","unstructured":"Pedreschi, R., Hertog, M. A. T. M., Carpentier, S., Lammertyn, J., Robben, J., et al. (2008). Treatment of missing values for multivariate statistical analysis of gel-based proteomics data. Proteomics, 8, 1371\u20131383.","journal-title":"Proteomics"},{"key":"366_CR30","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1093\/biomet\/63.3.581","volume":"63","author":"DR Rubin","year":"1976","unstructured":"Rubin, D. R. (1976). Inference and missing data. Biometrica, 63, 581\u2013592.","journal-title":"Biometrica"},{"key":"366_CR31","doi-asserted-by":"crossref","first-page":"2965","DOI":"10.1002\/rcm.3164","volume":"21","author":"TP Sangster","year":"2007","unstructured":"Sangster, T. P., Wingate, J. E., Burton, L., Teichert, F., & Wilson, I. D. (2007). Investigation of analytical variation in metabonomics analysis using liquid chromatography\/mass spectrometry. Rapid Commun. Mass Spectrometry, 21, 2965\u20132970.","journal-title":"Rapid Commun. Mass Spectrometry"},{"key":"366_CR32","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1191\/096228099671525676","volume":"8","author":"JL Schafer","year":"1999","unstructured":"Schafer, J. L. (1999). Multiple imputation: A primer. Statistical Methods in Medical Research, 8, 3.","journal-title":"Statistical Methods in Medical Research"},{"key":"366_CR33","doi-asserted-by":"crossref","first-page":"4272","DOI":"10.1093\/bioinformatics\/bti708","volume":"21","author":"I Scheel","year":"2005","unstructured":"Scheel, I., Aldrin, M., Glad, I., Sorum, R., Lyng, H., & Frigessi, A. (2005). The influence of missing values imputation on detection of differentially expressed genes from microarray data. Bioinformatics, 21, 4272\u20134279.","journal-title":"Bioinformatics"},{"key":"366_CR34","doi-asserted-by":"crossref","first-page":"1304","DOI":"10.1097\/01.tp.0000241099.93794.d6","volume":"82","author":"MA Silva","year":"2006","unstructured":"Silva, M. A. (2006). Arginine and urea metabolism in the liver graft: A study using microdialysis in human orthotopic liver transplantation. Transplantation, 82, 1304\u20131311.","journal-title":"Transplantation"},{"key":"366_CR35","doi-asserted-by":"crossref","first-page":"4595","DOI":"10.1021\/ac062446p","volume":"79","author":"AD Southam","year":"2007","unstructured":"Southam, A. D., Payne, T. G., Cooper, H., Arvanitis, T. N., & Viant, M. R. (2007). Dynamic range and mass accuracy of widescan direct infusion nanoelectrospray Fourier transform ion cyclotron resonance mass spectrometry-based metabolomics increased by the spectral stitching method. Analytical Chemistry, 79, 4595\u20134602.","journal-title":"Analytical Chemistry"},{"key":"366_CR36","doi-asserted-by":"crossref","unstructured":"Steuer, R., Morgenthal, K., Weckwerth, W., & Selbig, J. (2007) A gentle guide to the analysis of metabolomic data. In: Metabolomics: Methods and protocols (pp. 105\u2013129). New Jersey: Humana Press.","DOI":"10.1007\/978-1-59745-244-1_7"},{"key":"366_CR37","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s11306-007-0082-2","volume":"3","author":"LW Sumner","year":"2007","unstructured":"Sumner, L. W., Amberg, A., Barret, D., Beale, M. H., Berger, R., et al. (2007). Proposed minimum reporting standards for chemical analysis chemical analysis working group (CAWG) metabolomics standards initiative (MSI). Metabolomics, 3, 211\u2013221.","journal-title":"Metabolomics"},{"key":"366_CR38","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1007\/s11306-008-0133-3","volume":"5","author":"NS Taylor","year":"2009","unstructured":"Taylor, N. S., Weber, R. J. M., Southam, A. D., Payne, T. G., Hrydziuszko, O., Arvanitis, T. N., et al. (2009). A new approach to toxicity testing in Daphnia magna: An application of high throughput FT-ICR mass spectrometry metabolomics. Metabolomics, 5, 44\u201358.","journal-title":"Metabolomics"},{"key":"366_CR39","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1093\/toxsci\/kfq247","volume":"118","author":"NS Taylor","year":"2010","unstructured":"Taylor, N. S., Weber, R. J. M., White, T. A., & Viant, M. R. (2010). Discriminating between different acute chemical toxicities via changes in the daphnid metabolome. Toxicological Sciences, 118, 307\u2013317.","journal-title":"Toxicological Sciences"},{"key":"366_CR41","doi-asserted-by":"crossref","first-page":"520","DOI":"10.1093\/bioinformatics\/17.6.520","volume":"17","author":"O Troyanskaya","year":"2001","unstructured":"Troyanskaya, O., Cantor, M., Sherlock, G., Brown, P., Hastie, T., et al. (2001). Missing value estimation methods for DNA microarrays. Bioinformatics, 17, 520\u2013525.","journal-title":"Bioinformatics"},{"key":"366_CR42","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1186\/1471-2105-9-202","volume":"9","author":"J Tuikkala","year":"2008","unstructured":"Tuikkala, J., Elo, L. L., Nevalainen, O. S., & Aittokallio, T. (2008). Missing value imputation improves clustering and interpretation of gene expression microarray data. BMC Bioinformatics, 9, 202.","journal-title":"BMC Bioinformatics"},{"key":"366_CR44","first-page":"68","volume":"1","author":"S Buuren van","year":"2010","unstructured":"van Buuren, S., & Groothuis-Oudsshoorn, K. (2010). MICE: Multivariate imputation by chained equations in R. Journal of Statistical Software, 1, 68\u201374.","journal-title":"Journal of Statistical Software"},{"key":"366_CR46","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/S0169-7439(01)00131-9","volume":"58","author":"B Walczak","year":"2001","unstructured":"Walczak, B., & Massart, D. L. (2001). Dealing with missing data part I. Chemometrics and Intelligent Laboratory Systems, 58, 15\u201327.","journal-title":"Chemometrics and Intelligent Laboratory Systems"},{"key":"366_CR47","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1007\/s11306-007-0099-6","volume":"4","author":"JA Westerhuis","year":"2008","unstructured":"Westerhuis, J. A., Hoefsloot, H. C. J., Smit, S., Vis, D. J., Smilde, A. K., van Velzen, E. J. J., et al. (2008). Assessment of PLSDA cross validation. Metabolomics, 4, 81\u201389.","journal-title":"Metabolomics"},{"key":"366_CR49","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/j.ab.2007.10.002","volume":"372","author":"H Wu","year":"2008","unstructured":"Wu, H., Southam, A. D., Hines, A., & Viant, M. R. (2008). High throughput tissue extraction protocol for NMR- and MS-based metabolomics. Analytical Biochemistry, 372, 204\u2013212.","journal-title":"Analytical Biochemistry"},{"key":"366_CR50","doi-asserted-by":"crossref","first-page":"W652","DOI":"10.1093\/nar\/gkp356","volume":"37","author":"J Xia","year":"2009","unstructured":"Xia, J., Psychogios, N., Young, N., & Wishart, D. S. (2009). MetaboAnalyst: A web server for metabolomics data analysis and interpretation. Nucleic Acids Research, 37, W652\u2013W660.","journal-title":"Nucleic Acids Research"}],"container-title":["Metabolomics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11306-011-0366-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11306-011-0366-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11306-011-0366-4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T16:03:27Z","timestamp":1741795407000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11306-011-0366-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,10,8]]},"references-count":40,"journal-issue":{"issue":"S1","published-print":{"date-parts":[[2012,6]]}},"alternative-id":["366"],"URL":"https:\/\/doi.org\/10.1007\/s11306-011-0366-4","relation":{},"ISSN":["1573-3882","1573-3890"],"issn-type":[{"value":"1573-3882","type":"print"},{"value":"1573-3890","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,10,8]]}}}