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

Consonant

書目名稱Computational Methods in Systems Biology影響因子(影響力)




書目名稱Computational Methods in Systems Biology影響因子(影響力)學科排名




書目名稱Computational Methods in Systems Biology網絡公開度




書目名稱Computational Methods in Systems Biology網絡公開度學科排名




書目名稱Computational Methods in Systems Biology被引頻次




書目名稱Computational Methods in Systems Biology被引頻次學科排名




書目名稱Computational Methods in Systems Biology年度引用




書目名稱Computational Methods in Systems Biology年度引用學科排名




書目名稱Computational Methods in Systems Biology讀者反饋




書目名稱Computational Methods in Systems Biology讀者反饋學科排名

choleretic

成績上升

An Approximate Execution of Rule-Based Multi-level ModelsML-Rules, that allow a compact and concise description of these models. However, the more complex models become the more important is an efficient execution of these models. .-leaping algorithms can speed up the execution of biochemical reaction models significantly by introducing acceptable inaccur

使成核

Computing Cumulative Rewards Using Fast Adaptive Uniformisation adaptive uniformisation method introduced by Mateescu approximates the probability by neglecting insignificant states, and has proven to be effective for quantitative analysis of stochastic models arising in chemical and biological applications. However, this method has only been formulated for the

Lipoma

Linking Discrete and Stochastic Models: The Chemical Master Equation as a Bridge between Process Hitsometimes to an inhibitive extent. By building bridges in existing models, we can exploit the advantages of each, widening the range of analysis possible for larger, more detailed models of gene regulatory networks. In this paper, we create just such a link between Process Hitting [6,7,8], a recentl

canonical

canonical

Modelling and Analysis of Phase Variation in Bacterial Colony Growthorming circular colonies on a flat medium. We explore the application of two different geometries, rectangular and circular, for modelling and analysing the colony growth in 2.5 dimensions. Our modelling paradigm is that of coloured stochastic Petri nets and we employ stochastic simulation in order

對待

Using Probabilistic Strategies to Formalize and Compare ,-Synuclein Aggregation and Propagation unden’s disease (PD). To the best of our knowledge, this is the first executable formal model of the propagation of .-syn aggregates through a neural network that is dynamically changing as a consequence of neuronal death. We then define different probabilistic strategies on top of our model to formaliz

破裂

類似思想

Statistical Model Checking Based Calibration and Analysis of Bio-pathway Modelsl-to-cell variability explicitly by using probability distributions to model initial concentrations and kinetic rate values. This implicitly defines a distribution over a set of ODE trajectories, the properties of which are to be characterized. The core component of our framework is an SMC procedure