notameStats
This is the development version of notameStats; for the stable release version, see notameStats.
All Bioconductor versions of notameStats
3.24 (devel), 3.23 (release), 3.22
Workflow for non-targeted LC-MS metabolic profiling
Bioconductor version: 3.24 · Package version: 1.3.0
Provides univariate and multivariate statistics for feature prioritization in untargeted LC-MS metabolomics research.
Author: Anton Klåvus [aut, cph] 
, Jussi Paananen [aut, cph] , Oskari Timonen [aut, cph] , Atte Lihtamo [aut], Vilhelm Suksi [aut, cre] , Retu Haikonen [aut] , Leo Lahti [aut] , Kati Hanhineva [aut] , Ville Koistinen [ctb] , Olli Kärkkäinen [ctb] , Artur Sannikov [ctb]
Maintainer: Vilhelm Suksi <vksuks at utu.fi>
Citation
From within R, enter citation("notameStats"):
Anton Klåvus, Jussi Paananen, Oskari Timonen, Atte Lihtamo, Vilhelm Suksi, Retu Haikonen, Leo Lahti, Kati Hanhineva. notameStats: Workflow for non-targeted LC-MS metabolic profiling. doi:10.18129/B9.bioc.notameStats, R package version 1.3.0, https://bioconductor.org/packages/notameStats.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("notameStats")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.3.0 |
| License | MIT + file LICENSE |
| URL | https://github.com/hanhineva-lab/notameStats |
| Bug Reports | https://github.com/hanhineva-lab/notameStats/issues |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.22 (R-4.5) (less than a year) |
| Downloads rank | 2263 of 2,456 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | BatchEffect, BiomedicalInformatics, DataImport, MassSpectrometry, Metabolomics, MultipleComparison, Normalization, Preprocessing, QualityControl, Software, Visualization |
| Package Short Url | https://bioconductor.org/packages/notameStats/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("notameStats")| Non-targeted metabolomics feature prioritization | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | notameStats_1.3.0.tar.gz |
| Windows binary (x86_64) | notameStats_1.3.0.zip |
| macOS binary (arm64) | notameStats_1.3.0.tgz |
| macOS binary (x86_64) | notameStats_1.3.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/notameStats |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/notameStats |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 4.5.0), SummarizedExperiment
Imports: BiocGenerics, BiocParallel, broom, dplyr, methods, notame, stats, tibble, tidyr, utils
Suggests: BiocStyle, car, knitr, lmerTest, missForest, mixOmics, MuMIn, MUVR2, notameViz, PERMANOVA, PK, randomForest, rmcorr, testthat