Jing Yang, Penfold, C. A., Grant, M. R., & Rattray, M. (2016). Inferring the perturbation time from biological time course data. Bioinformatics, 32(19), 2956-2964. https://doi.org/10.1093/bioinformatics/btw329
ISO-690 (author-date, English)JING YANG, PENFOLD, Christopher A., GRANT, Murray R. und RATTRAY, Magnus, 2016. Inferring the perturbation time from biological time course data. Bioinformatics. 1 Oktober 2016. Vol. 32, no. 19, p. 2956-2964. DOI 10.1093/bioinformatics/btw329.
Modern Language Association 9th editionJing Yang, C. A. Penfold, M. R. Grant, und M. Rattray. „Inferring the Perturbation Time from Biological Time Course Data.“. Bioinformatics, Bd. 32, Nr. 19, Oktober 2016, S. 2956-64, https://doi.org/10.1093/bioinformatics/btw329.
Mohr Siebeck - Recht (Deutsch - Österreich)Jing Yang/Penfold, Christopher A./Grant, Murray R./Rattray, Magnus: Inferring the perturbation time from biological time course data., Bioinformatics 2016, 2956-2964.
Emerald - HarvardJing Yang, Penfold, C.A., Grant, M.R. und Rattray, M. (2016), „Inferring the perturbation time from biological time course data.“, Bioinformatics, Vol. 32 No. 19, S. 2956-2964.