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squallms

Speedy quality assurance via lasso labeling for LC-MS data

Bioconductor version: 3.24 · Package version: 1.7.0

squallms is a Bioconductor R package that implements a "semi-labeled" approach to untargeted mass spectrometry data. It pulls in raw data from mass-spec files to calculate several metrics that are then used to label MS features in bulk as high or low quality. These metrics of peak quality are then passed to a simple logistic model that produces a fully-labeled dataset suitable for downstream analysis.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("squallms")

Details

MaintainerWilliam Kumler <wkumler@uw.edu>
AuthorWilliam Kumler [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-5022-8009>)
LicenseMIT + file LICENSE
URLhttps://github.com/wkumler/squallms
Bug Reportshttps://github.com/wkumler/squallms/issues
Downloads rank282
Source branchdevel
biocViewsClassification, Clustering, FeatureExtraction, Lipidomics, MassSpectrometry, Metabolomics, Preprocessing, PrincipalComponent, Proteomics, QualityControl, Regression, ShinyApps, Software, Visualization

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagesquallms_1.7.0.tar.gz
Windows binary (x86_64)squallms_1.7.0.zip
macOS binary (arm64)squallms_1.7.0.tgz
macOS binary (x86_64)squallms_1.7.0.tgz
Dependencies

Depends: R (>= 4.1.0)

Imports: xcms, MSnbase, MsExperiment, RaMS, dplyr, tidyr, tibble, ggplot2, shiny, plotly, data.table, caret, stats, graphics, utils, keys

Suggests: knitr, rmarkdown, BiocStyle, testthat (>= 3.0.0)