KelseyChetnik/MetaClean: Detection of Low-Quality Peaks in Untargeted Metabolomics Data
Utilizes 11 peak quality metrics and 8 diverse machine learning algorithms to build a classifier for the automatic assessment of peak integration quality of peaks from untargeted metabolomics analyses. The 11 peak quality metrics were adapted from those defined in the following references: Zhang, W., & Zhao, P.X. (2014) <doi:10.1186/1471-2105-15-S11-S5> Toghi Eshghi, S., Auger, P., & Mathews, W.R. (2018) <doi:10.1186/s12014-018-9209-x>.
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Browse package contents
Package details |
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| Author | Kelsey Chetnik |
| Bioconductor views | S4Vectors |
| Maintainer | Kelsey Chetnik <kelsey.chetnik@gmail.com> |
| License | GPL-3 |
| Version | 1.0.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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