Titlebook: Computational Methods in Systems Biology; 11th International C Ashutosh Gupta,Thomas A. Henzinger Conference proceedings 2013 Springer-Verl

脆弱带来

An Approximate Execution of Rule-Based Multi-level Modelsstructures cause specific challenges. We present a .-leaping algorithm for ML-Rules which tackles these specific challenges and evaluate the efficiency and accuracy of this adapted .-leaping based on a recently developed visual analysis technique.

不规则

Constraint Programming in Community-Based Gene Regulatory Network Inferenceon of diverse forms of knowledge. The paper experimentally shows the potential of this method: the addition of biological constraints can offer improvements in the prediction accuracy, and the method shows promising results in assessing biological hypothesis using constraints.

Inexorable

A Temporal Logic Approach to Modular Design of Synthetic Biological Circuits the subset of the parameter space in which those constraints are satisfied, providing also a measure of the robustness for the target circuit design. This approach, which leverages recent results on the quantitative semantics of Signal Temporal Logic, is illustrated by synthesising a biological implementation of an half-adder.

负担

Accomplish

Modelling and Analysis of Phase Variation in Bacterial Colony Growthto generate output which is then analysed for sector patterning. The analysis results are used to compare the two geometries, and our multidimensional approach is a precursor to more work on detailed multiscale modelling.

Adulate

Using Probabilistic Strategies to Formalize and Compare ,-Synuclein Aggregation and Propagation undee the aggregation and propagation of .-syn in three different scenarios: (i) in a healthy person, (ii) in a person predisposed to PD, and (iii) in a predisposed person that is given some treatment with rapamycin. We use PSMaude to simulate our model in these different scenarios.

好开玩笑

Context-Sensitive Flow Analyses: A Hierarchy of Model Reductions sound coarse-graining, providing an efficient way to find macro-variables and the corresponding reduced models. In this paper, we propose a framework to allow the tuning of the context-sensitivity of the information flow analyses and show how these finer analyses can be used to find fewer macro-variables and smaller reduced differential models.

万灵丹

Chen-Fu Chien,Yun-Siang Lin,Yu-Shin Taniased model is conducted only on the remaining significant part of the state space. The efficiency and the accuracy of our method are studied through a benchmark model that recently received considerable attention in the literature.

POWER

脾气暴躁的人

Vittal Prabhu,Marco Taisch,Dimitris Kiritsiscrete models without sacrificing the ability to obtain a full space state solution, widening the scope of analysis and interpretation possible. As a demonstration of the utility of this methodology, we have applied it here to the p53-mdm2 network [4,5], a widely studied biological regulatory network.