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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 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>.
Package details |
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Author | Kelsey Chetnik |
Bioconductor views | S4Vectors |
Maintainer | Kelsey Chetnik <kchetnik73@gmail.com> |
License | GPL-3 |
Version | 1.0.0 |
Package repository | View on CRAN |
Installation |
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