yamss
This is the released version of yamss; for the devel version, see yamss.
Tools for high-throughput metabolomics
Bioconductor version: Release (3.23)
Tools to analyze and visualize high-throughput metabolomics data aquired using chromatography-mass spectrometry. These tools preprocess data in a way that enables reliable and powerful differential analysis. At the core of these methods is a peak detection phase that pools information across all samples simultaneously. This is in contrast to other methods that detect peaks in a sample-by-sample basis.
Author: Leslie Myint [cre, aut] 
, Kasper Daniel Hansen [aut]
Maintainer: Leslie Myint <leslie.myint at gmail.com>
citation("yamss")):Leslie Myint, Kasper Daniel Hansen. yamss: Tools for high-throughput metabolomics. doi:10.18129/B9.bioc.yamss, R package version 1.38.0, https://bioconductor.org/packages/yamss.
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")
BiocManager::install("yamss")For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("yamss")| yamss User's Guide | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | MassSpectrometry, Metabolomics, PeakDetection, Software |
| Version | 1.38.0 |
| In Bioconductor since | BioC 3.4 (R-3.3) (10 years) |
| License | Artistic-2.0 |
| Depends | R (>= 4.3.0), methods, BiocGenerics (>= 0.15.3), SummarizedExperiment |
| Imports | IRanges, stats, S4Vectors, EBImage, Matrix, mzR, data.table, grDevices, limma |
| System Requirements | |
| URL | https://github.com/hansenlab/yamss |
| Bug Reports | https://github.com/hansenlab/yamss/issues |
See More
| Suggests | BiocStyle, knitr, rmarkdown, digest, mtbls2, testthat |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | yamss_1.38.0.tar.gz |
| Windows Binary (x86_64) | yamss_1.38.0.zip |
| macOS Binary (big-sur-x86_64) | yamss_1.38.0.tgz |
| macOS Binary (sonoma-arm64) | yamss_1.38.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/yamss |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/yamss |
| Package Short Url | https://bioconductor.org/packages/yamss/ |
| Package Downloads Report | Download Stats |