This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see yamss.
Bioconductor version: 3.15
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.
Author: Leslie Myint [cre, aut], Kasper Daniel Hansen [aut]
Maintainer: Leslie Myint <leslie.myint at gmail.com>
Citation (from within R,
enter citation("yamss")
):
To install this package, start R (version "4.2") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("yamss")
HTML | R Script | yamss User's Guide |
Reference Manual | ||
Text | NEWS |
biocViews | ImmunoOncology, MassSpectrometry, Metabolomics, Software |
Version | 1.22.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (6 years) |
License | Artistic-2.0 |
Depends | R (>= 3.5.0), methods, BiocGenerics(>= 0.15.3), SummarizedExperiment |
Imports | IRanges, stats, S4Vectors, EBImage, Matrix, mzR, data.table, grDevices, limma |
LinkingTo | |
Suggests | BiocStyle, knitr, rmarkdown, digest, mtbls2, testthat |
SystemRequirements | |
Enhances | |
URL | https://github.com/hansenlab/yamss |
BugReports | https://github.com/hansenlab/yamss/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | yamss_1.22.0.tar.gz |
Windows Binary | yamss_1.22.0.zip (64-bit only) |
macOS Binary (x86_64) | yamss_1.22.0.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 |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: