DRAIZEN EJ, READEY J, MURA C und BOURNE PE, 2024. Prop3 D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data. BMC bioinformatics. 4 Januar 2024. Vol. 25, no. 1, p. 11-11. DOI 10.1186/s12859-023-05586-5.
Elsevier - Harvard (with titles)Draizen EJ, Readey J, Mura C, Bourne PE, 2024. Prop3 D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data. BMC bioinformatics 25, 11-11. https://doi.org/10.1186/s12859-023-05586-5
American Psychological Association 7th editionDraizen EJ, Readey J, Mura C, & Bourne PE. (2024). Prop3 D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data. BMC Bioinformatics, 25(1), 11-11. https://doi.org/10.1186/s12859-023-05586-5
Springer - Basic (author-date)Draizen EJ, Readey J, Mura C, Bourne PE (2024) Prop3 D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data.. BMC bioinformatics 25:11-11. https://doi.org/10.1186/s12859-023-05586-5
Juristische Zitierweise (Stüber) (Deutsch)Draizen EJ/ Readey J/ Mura C/ Bourne PE, Prop3 D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data., BMC bioinformatics 2024, 11-11.