Titlebook: Computational Methods in Systems Biology; 17th International C Luca Bortolussi,Guido Sanguinetti Conference proceedings 2019 Springer Natur

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, and Dynastic Successions in Modern Europe,ng method to compute all sequential reprogramming paths from a source attractor to a target attractor, where only attractors of the network are used as intermediates. Our method is more practical than existing reprogramming methods as it incorporates several practical constraints: (1) only biologica

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https://doi.org/10.1007/978-981-15-9015-3discontinuous and smooth variation. Hybrid stochastic processes, in particular piecewise-deterministic Markov processes (PDMP), are well adapted for describing such situations. PDMPs approximate the jump Markov processes traditionally used as models for stochastic chemical reaction networks. Althoug

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Xinchun Li,Jun Ma,Xiao Xiao,Yong Zhaoial vesicles. In this perspective, we consider Chemical Reaction Networks (CRN) as a programming language, and investigate the CRN program synthesis problem. Recent work has shown that CRN interpreted by differential equations are Turing-complete and can be seen as analog computers where the molecul