Zhang, H., Rolauffs, B., & Schlunck, G. [ca. 2025]. Machine learning predictions on mechanical energy-influenced cellular morphology and cytoskeleton network (Universität) [Cd]. Universität, Freiburg. https://doi.org/10.6094/UNIFR/266184
ISO-690 (author-date, English)ZHANG, Haibin, ROLAUFFS, Bernd und SCHLUNCK, Günther, 2025. Machine learning predictions on mechanical energy-influenced cellular morphology and cytoskeleton network. Freiburg: Universität.
Modern Language Association 9th editionZhang, H., B. Rolauffs, und G. Schlunck. Machine learning predictions on mechanical energy-influenced cellular morphology and cytoskeleton network. cd, Universität, 2025, https://doi.org/10.6094/UNIFR/266184.
Mohr Siebeck - Recht (Deutsch - Österreich)Emerald - Harvard
Zhang, H., Rolauffs, B. und Schlunck, G. (2025), Machine learning predictions on mechanical energy-influenced cellular morphology and cytoskeleton network, Universität, Freiburg, verfügbar unter:https://doi.org/10.6094/UNIFR/266184.