Profiling intratumoral heterogeneity of bladder cancer subtypes at the single-cell level using machine-learning assisted histopathology.

Van Rhijn B, Mertens L, Mayr R, Bostrom P, Marques M, Van Leenders G, Gotz S, Van Der Heijden M, Jewett M, Real F, Stöhr R, Zlotta A, Eckstein M, Soorojebally Y, Burger M, Otto W, Radvanyi F, Pouessel D, Van Der Kwast T, Malats N, Hartmann A, Allory Y, Van Der Schoot D, Zwarthoff E, Zuiverloon T (2020)


Publication Type: Conference contribution

Publication year: 2020

Journal

Publisher: AMER ASSOC CANCER RESEARCH

City/Town: PHILADELPHIA

Pages Range: 58-59

Conference Proceedings Title: CLINICAL CANCER RESEARCH

Event location: Denver, CA US

DOI: 10.1158/1557-3265.bladder19-pr02

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Involved external institutions

How to cite

APA:

Van Rhijn, B., Mertens, L., Mayr, R., Bostrom, P., Marques, M., Van Leenders, G.,... Zuiverloon, T. (2020). Profiling intratumoral heterogeneity of bladder cancer subtypes at the single-cell level using machine-learning assisted histopathology. In CLINICAL CANCER RESEARCH (pp. 58-59). Denver, CA, US: PHILADELPHIA: AMER ASSOC CANCER RESEARCH.

MLA:

Van Rhijn, Bas, et al. "Profiling intratumoral heterogeneity of bladder cancer subtypes at the single-cell level using machine-learning assisted histopathology." Proceedings of the AACR Special Conference on Bladder Cancer - Transforming the Field, Denver, CA PHILADELPHIA: AMER ASSOC CANCER RESEARCH, 2020. 58-59.

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