Predicted retention time can be useful in liquid chromatography analysis to identify unknowns and removing false positive annotations. It uses five different machine learning algorithms to built a stable, accurate and fast RT prediction model. Retip also includes 20 useful biochemical databases.
Package details |
|
---|---|
Maintainer | |
License | CC BY 4.0 |
Version | 2.0 |
URL | https://www.retip.app |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.