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

MERIT

https://doi.org/10.1007/978-3-663-11567-0 providing speed-up gains for some benchmarks, while also enabling extensions of the experimental observations specification language currently supported in RE:IN by using the rich expressive power of temporal logic.

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露天歷史劇

On Chemical Reaction Network Design by a Nested Evolution Algorithmial evolution to build a CRN that approximates a real function given on finite sets of input values. We present a nested search algorithm that evolves the structure of the CRN and optimizes the kinetic parameters at each generation. We evaluate this algorithm on the Heaviside and Cosine functions bo

占卜者

Designing Distributed Cell Classifier Circuits Using a Genetic Algorithmith high accuracy on real-world data. Optimized classifiers capture biologically relevant miRNAs that are cancer-type specific. The comparison to a single-circuit classifier design approach shows that DCs perform with significantly higher accuracy than individual circuits. The algorithm is implement

extemporaneous

Transient Memory in Gene Regulation in input arrival, the circuit exhibits qualitatively distinct observable phenotypes. In particular, these phenotypes are long lived transients: they all converge to a single value, but so slowly, that they seem stable for an extended time period, longer than typical experiment duration. We used rul

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