Chambuso, R., Musarurwa, T. N., Aldera, A. P., Deffur, A., Geffen, H., Perkins, D., & Ramesar, R. (2025). Genomics and integrative clinical data machine learning scoring model to ascertain likely Lynch syndrome patients. BJC Reports, 3(1). https://doi.org/10.1038/s44276-025-00140-7
ISO-690 (author-date, English)CHAMBUSO, Ramadhani, MUSARURWA, Takudzwa Nyasha, ALDERA, Alessandro Pietro, DEFFUR, Armin, GEFFEN, Hayli, PERKINS, Douglas und RAMESAR, Raj, 2025. Genomics and integrative clinical data machine learning scoring model to ascertain likely Lynch syndrome patients. BJC Reports. 1 Dezember 2025. Vol. 3, no. 1, . DOI 10.1038/s44276-025-00140-7.
Modern Language Association 9th editionChambuso, R., T. N. Musarurwa, A. P. Aldera, A. Deffur, H. Geffen, D. Perkins, und R. Ramesar. „Genomics and Integrative Clinical Data Machine Learning Scoring Model to Ascertain Likely Lynch Syndrome Patients“. BJC Reports, Bd. 3, Nr. 1, Dezember 2025, https://doi.org/10.1038/s44276-025-00140-7.
Mohr Siebeck - Recht (Deutsch - Österreich)Chambuso, Ramadhani/Musarurwa, Takudzwa Nyasha/Aldera, Alessandro Pietro/Deffur, Armin/Geffen, Hayli/Perkins, Douglas u. a.: Genomics and integrative clinical data machine learning scoring model to ascertain likely Lynch syndrome patients, BJC Reports 2025,
Emerald - HarvardChambuso, R., Musarurwa, T.N., Aldera, A.P., Deffur, A., Geffen, H., Perkins, D. und Ramesar, R. (2025), „Genomics and integrative clinical data machine learning scoring model to ascertain likely Lynch syndrome patients“, BJC Reports, Vol. 3 No. 1, verfügbar unter:https://doi.org/10.1038/s44276-025-00140-7.