Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ryan Goosen"'
Autor:
Jack Kuipers, Thomas Thurnherr, Giusi Moffa, Polina Suter, Jonas Behr, Ryan Goosen, Gerhard Christofori, Niko Beerenwinkel
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
Tumour heterogeneity hinders translation of large-scale genomic data into the clinic. Here the authors develop a method for the stratification of cancer patients based on the molecular gene status, including genetic interactions, rather than clinico-
Externí odkaz:
https://doaj.org/article/0b115bdf44cb494d927bace641aa4ed3
Autor:
Michael Ringel, Francis Kendall, Jianying Hu, Pratik Shah, Jason M. Laramie, Ryan Goosen, Sean Khozin, Nicholas J. Schork
Publikováno v:
npj Digital Medicine, Vol 2, Iss 1, Pp 1-5 (2019)
NPJ Digital Medicine
NPJ Digital Medicine
Future of clinical development is on the verge of a major transformation due to convergence of large new digital data sources, computing power to identify clinically meaningful patterns in the data using efficient artificial intelligence and machine-
Autor:
Gerhard Christofori, Ernesta Fagiani, Jörg Hagmann, Christoph Hess, Ruben Bill, Ryan Goosen, Sarah Dimeloe, Laura Pisarsky
Publikováno v:
Cell Reports
CELL REPORTS
Cell Reports, Vol 15, Iss 6, Pp 1161-1174 (2016)
Cell reports
CELL REPORTS
Cell Reports, Vol 15, Iss 6, Pp 1161-1174 (2016)
Cell reports
Summary Despite the approval of several anti-angiogenic therapies, clinical results remain unsatisfactory, and transient benefits are followed by rapid tumor recurrence. Here, we demonstrate potent anti-angiogenic efficacy of the multi-kinase inhibit
Autor:
Thomas Thurnherr, Gerhard Christofori, Polina Suter, Jonas Behr, Giusi Moffa, Jack Kuipers, Ryan Goosen, Niko Beerenwinkel
Publikováno v:
Nature Communications
Nature Communications, 9
Nature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
Nature Communications, 9
Nature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
Large-scale genomic data highlight the complexity and diversity of the molecular changes that drive cancer progression. Statistical analysis of cancer data from different tissues can guide drug repositioning as well as the design of targeted treatmen
Autor:
Francesca Patella, Daniela A. Ferraro, Martin Buess, Gerhard Christofori, Sara Zanivan, Ryan Goosen
Publikováno v:
Journal of Clinical Oncology. 33:e22014-e22014
e22014 Background: The microenvironment is a central regulator of tumor biology. While the contribution of fibroblasts has been largely studied, the role of endothelial cells as regulators of cance...
Publikováno v:
Annals of Oncology. 26:iii29