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

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41#
發(fā)表于 2025-3-28 18:12:37 | 只看該作者
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.
42#
發(fā)表于 2025-3-28 20:16:01 | 只看該作者
43#
發(fā)表于 2025-3-29 02:48:38 | 只看該作者
44#
發(fā)表于 2025-3-29 05:47:12 | 只看該作者
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
45#
發(fā)表于 2025-3-29 08:57:42 | 只看該作者
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
46#
發(fā)表于 2025-3-29 15:18:02 | 只看該作者
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
47#
發(fā)表于 2025-3-29 18:23:14 | 只看該作者
48#
發(fā)表于 2025-3-29 21:56:35 | 只看該作者
49#
發(fā)表于 2025-3-30 01:48:55 | 只看該作者
50#
發(fā)表于 2025-3-30 05:21:40 | 只看該作者
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