Titlebook: Computational Methods in Systems Biology; 13th International C Olivier Roux,Jérémie Bourdon Conference proceedings 2015 Springer Internatio

断言

magenta

Efficient Stochastic Simulation of Systems with Multiple Time Scales via Statistical Abstraction different time-scales. Computational savings can be obtained under time-scale separation. Assuming that the system can be partitioned into slow- and fast- equilibrating subsystems, it is then possible to efficiently simulate the slow subsystem only, provided that the corresponding kinetic laws have

休战

媒介

Organonitrile

Adaptive Moment Closure for Parameter Inference of Biochemical Reaction Networksf stochasticity in the underlying biochemical processes. When such models are employed to answer questions in applications, in order to ensure that the model provides a sufficiently accurate representation of the real system, it is of vital importance that the model parameters are inferred from real

割让

MUTE

Symbolic Dynamics of Biochemical Pathways as Finite States Machinesith separated rate constants can be described by deterministic, acyclic automata with a number of states that is inferior to the number of biochemical species. For nonlinear pathways, we propose a general approach to approximate their dynamics by finite state machines working on the metastable state

密切关系

Feature Learning Using Stacked Autoencoders to Predict the Activity of Antimicrobial Peptidesobial activity of synthetic and natural peptides where Quantitative Structure-Activity Relationship methodologies are widely used. Traditionally, works focused on designing descriptors for sequences to yield better correlations with the biological activity and improve predictors performance. Albeit