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

能量守恒

刻苦读书

larder

Probably Approximately Correct Learning of Regulatory Networks from Time-Series Datamonotone DNF formulae and learned actively with both activation samples and oracle calls. We consider Boolean traces and Boolean abstractions of stochastic simulation traces, and study the space-time tradeoff there is between the diversity of initial states and the length of the time horizon, and it

LARK

FAWN

胆小懦夫

Terrace

Detecting Toxicity Pathways with a Formal Framework Based on Equilibrium Changesribe qualitative equilibrium changes and the chaining of rules is controlled by constraints expressed in extended temporal logic. This higher abstraction level fosters the detection of toxicity pathways, as we will show through an example of endocrine disruption of the thyroid hormone system.

龙虾

Data-Driven Robust Control for Type 1 Diabetes Under Meal and Exercise Uncertaintiesvaluation of our robust AP design, demonstrating the potential of this approach, without explicit meal announcements, to support high carbohydrate disturbances and to regulate glucose levels in large clusters of virtual patients learned from population-wide survey data.

GNAT

商议

Automated Property Synthesis of ODEs Based Bio-pathways Modelsbe unknown parameters. We classify a given model’s behavior as corresponding to one of these templates using a convolutional neural network. We then synthesize a concrete property from this template by estimating its parameters via a standard search procedure combined with statistical model checking