Supporting interdisciplinary approaches to cancer research. The CSBC initiative supports research that investigates the challenges of complexity in basic and translational cancer research through the explicit combination of experimental biology and computational modeling, multi-dimensional data analysis, and systems engineering.
The mission of the Arizona Cancer and Evolution Center (ACE) is to advance our fundamental understanding of cancer and its clinical management through the development and application of evolutionary and ecological models to cancer biology.
We aim to identify key molecular networks upstream of incompletely penetrant phenotypes to better understand the transition from tumor initiation to progression and to develop more effective therapeutic interventions.
Heterogeneity / Evolution
Drug Resistance / Sensitivity
- 04.30.20 | 2020 Annual Investigators Meeting September 16-17 at NIH
- 04.30.20 | 2020 Junior Investigators Meeting August 27-28, 2020 at NIH
- 02.20.20 | Workshop on Computational and Experimental Approaches to Study Tumor Heterogeneity
- 12.09.19 | Duke University Computational Biology Webinar Series for High School Students
- Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data. Holland, CH, Tanevski, J, Perales-Patón, J, Gleixner, J, Kumar, MP, Mereu, E, Joughin, BA, Stegle, O, Lauffenburger, DA, Heyn, H, Szalai, B, Saez-Rodriguez, J Genome Biol. 21 (1): 36.
- Imaging of intratumoral heterogeneity in high-grade glioma. Hu, LS, Hawkins-Daarud, A, Wang, L, Li, J, Swanson, KR Cancer Lett. 477 : 97-106.