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

幻想

Constraint Programming in Community-Based Gene Regulatory Network Inferenceve posed many challenges to the inference problem. . integrate predictions from individual methods in a “meta predictor”, in order to compose the advantages of different methods and soften individual limitations. This paper proposes a novel methodology to integrate prediction ensembles using Constra

In-Situ

ABC–Fun: A Probabilistic Programming Language for Biologyables the use of elegant analysis tools such as model checking, but usually relies on a complete specification of the model of interest and cannot easily accommodate uncertain data. In contrast, data-driven modelling, based on machine learning techniques, can fit models to available data but their r

ferment

A Temporal Logic Approach to Modular Design of Synthetic Biological Circuitsae. We first show how to characterise with STL formulae the input/output behaviour of biological modules miming the classical logical gates (AND, NOT, OR). Hence, we provide the regions of the parameter space for which these specifications are satisfied. Given a STL specification of the target circu

FLING

WAIL

On the Hybrid Composition and Simulation of Heterogeneous Biochemical Modelsher deterministic Ordinary Differential Equations, stochastic continuous-time Markov Chains, Petri nets or Boolean transition systems. While the formal composition of reaction models can be syntactically defined as the (multiset) union of the reactions, the hybrid composition of models in different

真實(shí)的人

On the Verification and Correction of Large-Scale Kinetic Models in Systems Biologycal kinetics to ensure the plausibility of a model and the positivity of its solution. These criteria include the positivity of the rate functions, their kinetic type dependence on the reactant species concentrations, and the absence of the negative cross-effects that together guarantee the nonnegat

Physiatrist

Context-Sensitive Flow Analyses: A Hierarchy of Model Reductionsone attempts to describe formally the behaviour of the networks, which motivates the use of abstractions to make these models more coarse-grained..Context-insensitive abstractions of the intrinsic flow of information among the sites of chemical complexes through the rules have been proposed to infer

異端邪說(shuō)2

Irene Roda,Marco Macchi,Luca Fumagallistructures 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.

Ambulatory

健壯

Shota Suginouchi,Hajime Mizuyama 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.