Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry. [ca. 2017]. In S. Datta & B. J. A. Mertens (Hrsg.), Frontiers in Probability and the Statistical Sciences (1 st ed. 2017) [Cd]. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-45809-0
ISO-690 (author-date, English)DATTA, Susmita und MERTENS, Bart J. A (Hrsg.). 1 st ed. 2017. Cham: Springer International Publishing. ISBN 9783319458090.
Modern Language Association 9th editionDatta, S., und B. J. A. Mertens, Herausgeber. „Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry“. Frontiers in Probability and the Statistical Sciences, 1 st ed. 2017, cd, Springer International Publishing, 2017, https://doi.org/10.1007/978-3-319-45809-0.
Mohr Siebeck - Recht (Deutsch - Österreich): Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry, 1 st ed. 2017. Aufl. Cham 2017.
Emerald - HarvardDatta, S. und Mertens, B.J.A. (Hrsg.). (2017), Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry, Frontiers in Probability and the Statistical Sciences, 1 st ed. 2017., Bd. , Springer International Publishing, Cham, verfügbar unter:https://doi.org/10.1007/978-3-319-45809-0.