Your search
Topic
Publication year
Results
14 resources-
Ehresmann, A. C. (2018). Applications of Categories to Biology and Cognition. https://doi.org/10/ggdf93
-
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
-
Tuyéras, R. (2018). Category Theory for Genetics. ArXiv:1708.05255 [Math]. Retrieved from http://arxiv.org/abs/1708.05255
-
Tuyéras, R. (2018). Category theory for genetics I: mutations and sequence alignments. ArXiv:1805.07002 [Math]. Retrieved from http://arxiv.org/abs/1805.07002
-
Tuyéras, R. (2018). Category theory for genetics II: genotype, phenotype and haplotype. ArXiv:1805.07004 [Math]. Retrieved from http://arxiv.org/abs/1805.07004
-
Fages, F. (2014). Cells as Machines: Towards Deciphering Biochemical Programs in the Cell. In R. Natarajan (Ed.), Distributed Computing and Internet Technology (pp. 50–67). Cham: Springer International Publishing. https://doi.org/10/ggdf96
-
Ehresmann, A. C., & Gomez-Ramirez, J. (2015). Conciliating neuroscience and phenomenology via category theory. Progress in Biophysics and Molecular Biology, 119(3), 347–359. https://doi.org/10/f75jzr
-
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., Chabrier-Rivier, N., & Soliman, S. (2006). Machine Learning Biochemical Networks from Temporal Logic Properties. In C. Priami & G. Plotkin (Eds.), Transactions on Computational Systems Biology VI (pp. 68–94). Berlin, Heidelberg: Springer. https://doi.org/10/dd8
-
Baez, J. C., & Otter, N. (2015). Operads and Phylogenetic Trees.
-
Danos, V., Feret, J., Fontana, W., Harmer, R., & Krivine, J. (2008). Rule-Based Modelling, Symmetries, Refinements. In J. Fisher (Ed.), Formal Methods in Systems Biology (pp. 103–122). Berlin, Heidelberg: Springer. https://doi.org/10/dc5k68
-
Wilkinson, D. J. (2006). Stochastic Modelling for Systems Biology. CRC Press.
-
Mascari, J.-F., Giacchero, D., & Sfakianakis, N. (2017). Symetries and asymetries of the immune system response: A categorification approach. In 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 1451–1454). https://doi.org/10/ggdnd3
-
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
Explore
BIOLOGY, NEUROSCIENCE & PSYCHOLOGY
- Biology (14)
- Neuroscience (2)
- Psychology (1)
MACHINE LEARNING
- Machine Learning (1)
MODEL CHECKING AND STATE MACHINES
- Coalgebras (1)
- Rewriting theory (6)
- Symbolic logic (4)
- Transition systems (6)
PROBABILITY & STATISTICS
PROGRAMMING LANGUAGES
Methodology
- Implementation (3)
- Sketchy (2)
Topic
- Abstract machines (2)
- Bayesian inference (1)
- Biology
- Classical ML (1)
- Coalgebras (1)
- Emergence (2)
- Implementation (3)
- Machine learning (1)
- Neuroscience (2)
- Probabilistic programming (1)
- Psychology (1)
- Rewriting theory (6)
- Sketchy (2)
- Symbolic logic (4)
- Systems biology (7)
- Transition systems (1)
Resource type
- Book (1)
- Conference Paper (6)
- Journal Article (7)