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Peter J. van der Spek
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Journal Articles

Abstract 1073: AI-assisted high-dimensional cytological single cell analysis distinguishes normal and malignant urine samples using cell morphology images with high accuracy at the single cell level

Thierry P. van den Bosch, Geert J.L.H. van Leenders, Siamala Sinnadurai, Zhouyang Lian, Ryan Carelli, Matthew Nakaki, Vivian Lu, Manisha Ray, Janifer Cruz, Kelly R. Miller, Mahyar Salek, Maddison Masaeli, Peter J. van der Spek
Journal: Cancer Research
Cancer Res (2024) 84 (6_Supplement): 1073.
https://doi.org/10.1158/1538-7445.AM2024-1073
Published: 22 March 2024
View articletitled, Abstract 1073: AI-assisted high-dimensional cytological single cell analysis distinguishes normal and malignant urine samples using cell morphology images with high accuracy at the single cell level
Journal Articles

Abstract 3142: Whole genome sequencing of oligodendrogliomas identifies genes mutated at a low frequency that contribute to tumor formation.

Lale Erdem-Eraslan, Maurice de Wit, Daphne Heijsman, Andreas Kremer, Peter J. van der Spek, Peter A.E. Sillevis Smitt, Pim J. French
Journal: Cancer Research
Cancer Res (2013) 73 (8_Supplement): 3142.
https://doi.org/10.1158/1538-7445.AM2013-3142
Published: 15 April 2013
View articletitled, Abstract 3142: Whole genome sequencing of oligodendrogliomas identifies genes mutated at a low frequency that contribute to tumor formation.
Journal Articles

Intrinsic Gene Expression Profiles of Gliomas Are a Better Predictor of Survival than Histology

Lonneke A.M. Gravendeel, Mathilde C.M. Kouwenhoven, Olivier Gevaert, Johan J. de Rooi, Andrew P. Stubbs, J. Elza Duijm, Anneleen Daemen, Fonnet E. Bleeker, Linda B.C. Bralten, Nanne K. Kloosterhof, Bart De Moor, Paul H.C. Eilers, Peter J. van der Spek, Johan M. Kros, Peter A.E. Sillevis Smitt, Martin J. van den Bent, Pim J. French
Journal: Cancer Research
Cancer Res (2009) 69 (23): 9065–9072.
https://doi.org/10.1158/0008-5472.CAN-09-2307
Published: 30 November 2009
View articletitled, Intrinsic Gene Expression Profiles of Gliomas Are a Better Predictor of Survival than Histology
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Includes: Supplementary data