Channel:  Mathematical Oncology

50 Articles

Cryptsim: Modeling the evolutionary dynamics of the progression of Barrett’s esophagus to esophageal adenocarcinoma
Mallo, D., Kostadinov, R., Cisneros, L., Kuhner, M. K., Maley, C. C.
10.1101/323485 — Posted: 2018-05-16
Using neural networks to bridge scales in cancer: Mapping signaling pathways to phenotypes
Kim, E., Gerlee, P., Anderson, A.
10.1101/324038 — Posted: 2018-05-16
Mathematical modelling of molecular heterogeneity identifies novel markers and subpopulations in complex tumors
Chen, L., Wang, N., Clarke, R., Zhang, Z., Wang, Y.
10.1101/283903 — Posted: 2018-03-17
A new paradigm for personalized cancer screening
Walker, R., Enderling, H.
10.1101/265959 — Posted: 2018-02-15
Markov chain models of cancer metastasis
Mason, J., Newton, P. K.
10.1101/263350 — Posted: 2018-02-13
Competitive release in tumors
Ma, Y., West, J., Newton, P. K.
10.1101/263335 — Posted: 2018-02-10
Optimizing chemo-scheduling based on tumor growth rates
West, J., Newton, P. K.
10.1101/263327 — Posted: 2018-02-10
Open source tools and standardized data in cancer systems biology
Macklin, P., Friedman, S. H., MultiCellDS Project
10.1101/244319 — Posted: 2018-01-07
Days Gained: A Simulation-Based, Response Metric in the Assessment of Glioblastoma
De Leon, G., Singleton, K. W., Swanson, K. R.
10.1101/209056 — Posted: 2018-01-07
Hybrid approach for parameter estimation in agent-based models
Gallaher, J., Hawkins-Daarud, A., Massey, S. C., Swanson, K., Anderson, A.
10.1101/175661 — Posted: 2017-08-13

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