timeseries_data_example

An artificial data set containing the product concentration
observed with the high and low enzyme concentrations.
The 1st, 3rd, 5th, and 7th columns are observed times, and
the 2nd, 4th, 6th, and 8th columns are product concentrations.
The 2nd and 4th columns are observed with the initial enzyme concentrations of 4.4, and
the 6th and 8th columns are observed with the initial enzyme concentrations of 440.
The initial substrate concentrations are 4.4 for all data.

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.

Hyukpyo Hong

EKMCMC

MCMC Procedures for Estimating Enzyme Kinetics Constants

timeseries_data_example function

A data frame with 101 rows and 8 variables:<dl class="dl-horizontal">
<dt>V1 V3 V5 V7</dt><dd>observed times, no unit</dd>
<dt>V2 V4 V6 V8</dt><dd>product concentrations, no unit</dd>
</dl>

Format

Product concentration of 101 observed time with different initial conditions — timeseries_data_example

A data frame with 101 rows and 8 variables:<dl class='dl-horizontal'>
<dt>V1 V3 V5 V7</dt><dd>observed times, no unit</dd>
<dt>V2 V4 V6 V8</dt><dd>product concentrations, no unit</dd>
</dl>

timeseries_data_example: Product concentration of 101 observed time with different initial conditions

Description

Usage

Arguments

Format