Your search
MODEL CHECKING AND STATE MACHINES
PROGRAMMING LANGUAGES
Results
5 resources-
Boutillier, P., Maasha, M., Li, X., Medina-Abarca, H. F., Krivine, J., Feret, J., … Fontana, W. (2018). The Kappa platform for rule-based modeling. Bioinformatics, 34(13), i583–i592. https://doi.org/10/gdrhw6
-
Dal Lago, U., & Hoshino, N. (2019). The Geometry of Bayesian Programming (pp. 1–13). https://doi.org/10/ggdk85
-
Wilkinson, D. J. (2006). Stochastic Modelling for Systems Biology. CRC Press.
-
Fages, F., Martinez, T., Rosenblueth, D. A., & Soliman, S. (2018). Influence Networks Compared with Reaction Networks: Semantics, Expressivity and Attractors. IEEE/ACM Trans. Comput. Biol. Bioinformatics, 15(4), 1138–1151. https://doi.org/10/ggdf94
-
Fages, F., Calzone, L., & Soliman, S. (2006). BIOCHAM: an environment for modeling biological systems and formalizing experimental knowledge. Bioinformatics, 22(14), 1805–1807. https://doi.org/10/dfv
Explore
BIOLOGY, NEUROSCIENCE & PSYCHOLOGY
- Biology (4)
CATEGORICAL LOGIC
- Linear logic (1)
MODEL CHECKING AND STATE MACHINES
PROBABILITY & STATISTICS
PROGRAMMING LANGUAGES
Methodology
- Implementation (3)
Topic
- Abstract machines (1)
- Bayesian inference (2)
- Biology (4)
- Denotational semantics (1)
- Implementation (3)
- Linear logic (1)
- Probabilistic programming (2)
- Programming language theory (1)
- Rewriting theory (5)
- Symbolic logic (2)
- Systems biology (4)
- Transition systems (2)
Resource type
- Book (1)
- Conference Paper (1)
- Journal Article (3)