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Bayesian proteoform modeling improves protein quantification of global proteomic measurements.
Webb-Robertson BJ, Matzke MM, Datta S, Payne SH, Kang J, Bramer LM, Nicora CD, Shukla AK, Metz TO, Rodland KD, Smith RD, Tardiff MF, McDermott JE, Pounds JG, Waters KM. Webb-Robertson BJ, et al. Among authors: metz to. Mol Cell Proteomics. 2014 Dec;13(12):3639-46. doi: 10.1074/mcp.M113.030932. Mol Cell Proteomics. 2014. PMID: 25433089 Free PMC article.
Elimination of systematic mass measurement errors in liquid chromatography-mass spectrometry based proteomics using regression models and a priori partial knowledge of the sample content.
Petyuk VA, Jaitly N, Moore RJ, Ding J, Metz TO, Tang K, Monroe ME, Tolmachev AV, Adkins JN, Belov ME, Dabney AR, Qian WJ, Camp DG 2nd, Smith RD. Petyuk VA, et al. Among authors: metz to. Anal Chem. 2008 Feb 1;80(3):693-706. doi: 10.1021/ac701863d. Epub 2007 Dec 29. Anal Chem. 2008. PMID: 18163597 Free PMC article.
Application of the accurate mass and time tag approach in studies of the human blood lipidome.
Ding J, Sorensen CM, Jaitly N, Jiang H, Orton DJ, Monroe ME, Moore RJ, Smith RD, Metz TO. Ding J, et al. Among authors: metz to. J Chromatogr B Analyt Technol Biomed Life Sci. 2008 Aug 15;871(2):243-52. doi: 10.1016/j.jchromb.2008.04.040. Epub 2008 May 7. J Chromatogr B Analyt Technol Biomed Life Sci. 2008. PMID: 18502191 Free PMC article.
238 results