Marquardt, A.; Hartrampf, P.; Kollmannsberger, P.; Solimando, A.G.; Meierjohann, S.; Kübler, H.; Bargou, R.; Schilling, B.; Serfling, S.E.; Buck, A.;
et al. Predicting Microenvironment in CXCR4- and FAP-Positive Solid Tumors—A Pan-Cancer Machine Learning Workflow for Theranostic Target Structures. Cancers 2023, 15, 392.
https://doi.org/10.3390/cancers15020392
AMA Style
Marquardt A, Hartrampf P, Kollmannsberger P, Solimando AG, Meierjohann S, Kübler H, Bargou R, Schilling B, Serfling SE, Buck A,
et al. Predicting Microenvironment in CXCR4- and FAP-Positive Solid Tumors—A Pan-Cancer Machine Learning Workflow for Theranostic Target Structures. Cancers. 2023; 15(2):392.
https://doi.org/10.3390/cancers15020392
Chicago/Turabian Style
Marquardt, André, Philipp Hartrampf, Philip Kollmannsberger, Antonio G. Solimando, Svenja Meierjohann, Hubert Kübler, Ralf Bargou, Bastian Schilling, Sebastian E. Serfling, Andreas Buck,
and et al. 2023. "Predicting Microenvironment in CXCR4- and FAP-Positive Solid Tumors—A Pan-Cancer Machine Learning Workflow for Theranostic Target Structures" Cancers 15, no. 2: 392.
https://doi.org/10.3390/cancers15020392
APA Style
Marquardt, A., Hartrampf, P., Kollmannsberger, P., Solimando, A. G., Meierjohann, S., Kübler, H., Bargou, R., Schilling, B., Serfling, S. E., Buck, A., Werner, R. A., Lapa, C., & Krebs, M.
(2023). Predicting Microenvironment in CXCR4- and FAP-Positive Solid Tumors—A Pan-Cancer Machine Learning Workflow for Theranostic Target Structures. Cancers, 15(2), 392.
https://doi.org/10.3390/cancers15020392