Utilizes 12 peak quality metrics and 9 diverse machine learning algorithms to build a classifier for the automatic assessment of peak integration quality of peaks from untargeted metabolomics analyses. The 12 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>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0), MLmetrics |
| Imports: | xcms, caret, reshape2, knitr, ggplot2, plotrix, tools, utils, klaR, fastAdaboost, rpart, randomForest, kernlab, BiocStyle, methods, graph, Rgraphviz |
| Published: | 2020-06-14 |
| Author: | Kelsey Chetnik |
| Maintainer: | Kelsey Chetnik <kchetnik73 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | MetaClean results |
| Reference manual: | MetaClean.pdf |
| Vignettes: |
Create Peak Integration Quality Classifier for Assessment of Untargeted Metabolomics Features |
| Package source: | MetaClean_0.1.0.tar.gz |
| Windows binaries: | r-devel: MetaClean_0.1.0.zip, r-release: MetaClean_0.1.0.zip, r-oldrel: MetaClean_0.1.0.zip |
| macOS binaries: | r-release: MetaClean_0.1.0.tgz, r-oldrel: not available |
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