ssokolen/metcourse: Tools for Metabolic Time-course Data
A collection of scripts for the simulation of metabolic time-course trends typical of suspension cell culture as well as the detection and correction of systematic sample bias. The methods accompany two publications titled "A comprehensive model for separating systematic bias and noise in metabolomic timecourse data -- A nonlinear B-spline mixed effect approach" and "A correction method for systematic error in 1H-NMR time-course data validated through stochastic cell culture simulation".
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | Apache (>= 2.0) |
| Version | 2.0 |
| URL | https://github.com/ssokolen/metcourse |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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