Chymo_high

An aritficial data set containing the product concentration
and it's observed time based on high enzyme concentration and
low sustrate concentration

datasets

Functions for estimating catalytic constant and Michaelis-Menten constant
for enzyme kinetics model using Metropolis-Hasting algorithm within Gibbs
sampler based on the Bayesian framework. Additionally, a function to create
plot to identify the goodness-of-fit is included.

Boseung Choi

EKMCMC

MCMC Procedures for Estimating Enzyme Kinetics Constants

Chymo_high function

A data frame with 101 rows and 2 variables:<dl class="dl-horizontal">
<dt>time</dt><dd>observed time, no unit</dd>
<dt>product</dt><dd>product concentration, no unit</dd>
</dl>

Format

Product concentration of 101 observed time — Chymo_high

A data frame with 101 rows and 2 variables:<dl class='dl-horizontal'>
<dt>time</dt><dd>observed time, no unit</dd>
<dt>product</dt><dd>product concentration, no unit</dd>
</dl>

Chymo_high: Product concentration of 101 observed time

Description

Usage

Arguments

Format