Titlebook: Computational Methods in Systems Biology; 15th International C Jér?me Feret,Heinz Koeppl Conference proceedings 2017 Springer International

長(zhǎng)處

刪減

0302-9743 -performance computational?systems biology and parallel implementations; model inference from experimental?data; model integration from biological databases; multi-scale modeling and?analysis methods; and computational approaches for synthetic biology.978-3-319-67470-4978-3-319-67471-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

gonioscopy

思考

TIA742

https://doi.org/10.1007/978-3-319-99704-9bility results of the modeled system, e.g., concerning trap or no-return sets, can then be derived without enumerating and analyzing all models in the set. The close correspondence of the graph to similar objects for differential equations furthermore opens up ways to relate Boolean and continuous models.

Munificent

SOBER

Temporal Reprogramming of Boolean Networksations) or only temporary, to achieve the existential or inevitable reachability of an arbitrary state of the system. We apply a prototype implementation on small models from the literature and show that we are able to derive temporal perturbations to achieve trans-differentiation.

TOM

初次登臺(tái)

Detecting Attractors in Biological Models with Uncertain Parametersconnected components (tSCCs). In this paper, we introduce a novel method for detecting tSCCs in parametrised graphs. The method is supplied with a parallel algorithm and evaluated on discrete abstractions of several non-linear biological models.

Engaged

Bio-Curation for Cellular Signalling: The KAMI Projectation problem. The current state of the ongoing development of the . (.nowledge .ggregator & .odel .nstantiator) bio-curation tool, based on this approach, is detailed along with our plans for future development.