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:  | 
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