K-FIT: An accelerated kinetic parameterization algorithm using steady-state fluxomic data
نویسندگان
چکیده
منابع مشابه
Transition to the Most Probable Kinetic State in a Pre-steady State System Where K » K (a + C)
A system containing a pre-steady state standard (non-autocatalytic) reaction, with multiple paths, evolves toward a kinetic state with the minimum attainable activation free energy. Displacement of the path frequency distribution in this transition was shown to minimise the affinity linked to this change in activation free energy. In damping this scalar force, a standard system is driven along ...
متن کاملA Hybrid Data Clustering Algorithm Using Modified Krill Herd Algorithm and K-MEANS
Data clustering is the process of partitioning a set of data objects into meaning clusters or groups. Due to the vast usage of clustering algorithms in many fields, a lot of research is still going on to find the best and efficient clustering algorithm. K-means is simple and easy to implement, but it suffers from initialization of cluster center and hence trapped in local optimum. In this paper...
متن کاملAn algorithm for calculating steady state probabilities of $M|E_r|c|K$ queueing systems
This paper presents a method for calculating steady state probabilities of M |Er|c|K queueing systems. The infinitesimal generator matrix is used to define all possible states in the system and their transition probabilities. While this matrix can be written down immediately for many other M |PH |c|K queueing systems with phase-type service times (e.g. Coxian, Hypoexponential, . . . ), it requi...
متن کاملPersistent K-Means: Stable Data Clustering Algorithm Based on K-Means Algorithm
Identifying clusters or clustering is an important aspect of data analysis. It is the task of grouping a set of objects in such a way those objects in the same group/cluster are more similar in some sense or another. It is a main task of exploratory data mining, and a common technique for statistical data analysis This paper proposed an improved version of K-Means algorithm, namely Persistent K...
متن کاملQuadrilateral Mesh Smoothing Using a Steady State Genetic Algorithm
This paper investigates the use of a steady state genetic algorithm (GA) to perform quadrilateral finite element mesh smoothing. GAS short for genetic algorithm smoother moves one to 64 nodes at the same time. GAs smooth as well as untangle (removing twisted and inverted elements), which has been a separate operation in the past.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Metabolic Engineering
سال: 2020
ISSN: 1096-7176
DOI: 10.1016/j.ymben.2020.03.001