Studies of biological networks with statistical model checking
Author:
Affiliation:
1. University of Pittsburgh, Pittsburgh, PA, USA
2. Newcastle University, Newcastle upon Tyne, UK
3. Carnegie Mellon University, Pittsburgh, PA, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2506583.2512390
Reference7 articles.
1. Boolean network simulations for life scientists
2. A Bayesian Approach to Model Checking Biological Systems
3. Miskov-Zivanov N. Turner M. S. Kane L. P. Morel P. A. and Faeder J. R. 2013. Model Predicts Duration of T Cell Stimulation is a Critical Determinant of Cell Fate and Plasticity under submission. Miskov-Zivanov N. Turner M. S. Kane L. P. Morel P. A. and Faeder J. R. 2013. Model Predicts Duration of T Cell Stimulation is a Critical Determinant of Cell Fate and Plasticity under submission.
4. T cell receptor signaling controls Foxp3 expression via PI3K, Akt, and mTOR
5. Dominant Role of Antigen Dose in CD4+Foxp3+ Regulatory T Cell Induction and Expansion
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