Package: MetaClean
Type: Package
Title: Detection of Low-Quality Peaks in Untargeted Metabolomics Data
Version: 1.0.1
Author: Kelsey Chetnik
Maintainer: Kelsey Chetnik <kelsey.chetnik@gmail.com>
Description: 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>.
biocViews: S4Vectors
Imports: reshape2, knitr, ggplot2, plotrix, tools, utils, klaR,
        fastAdaboost, rpart, randomForest, kernlab, BiocStyle, methods,
        graph, Rgraphviz, caret
Depends: R (>= 3.5.0), MLmetrics, xcms
Suggests: markdown
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-15 08:20:25 UTC; root
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev
        libxml2-dev libnetcdf-dev libssl-dev libx11-dev zlib1g-dev
Repository: https://rickhelmus.r-universe.dev
Date/Publication: 2021-05-13 15:11:48 UTC
RemoteUrl: https://github.com/KelseyChetnik/MetaClean
RemoteRef: HEAD
RemoteSha: d0ce1bc0b2fe4d17e7e047c8c07c75b81c4e5833