Chymo_high

<p>A synthetic data set of the product concentration of the enzyme kinetics
with lower initial enzyme concentration and discrete observed time.</p>

datasets

Functions for estimating catalytic constant and Michaelis-Menten constant (MM constant) of
stochastic Michaelis-Menten enzyme kinetics model are provided. The likelihood functions
based on stochastic simulation approximation (SSA), diffusion approximation (DA), and
Gaussian processes (GP) are provided to construct posterior functions for the Bayesian
estimation. All functions utilize Markov Chain Monte Carlo (MCMC) methods with Metropolis-
Hastings algorithm with random walk chain and robust adaptive Metropolis-Hastings
algorithm based on Bayesian framework.

Donghyun Ra

SIfEK

Statistical Inference for Enzyme Kinetics

Chymo_high function

<p>A data frame with 101 rows and 2 variables</p>

Chymo_high: Product concentration of 101 observed time

Description

Usage

Arguments

Format