This is the development version of yamss; for the stable release version, see yamss.
Tools for high-throughput metabolomicsBioconductor version: Development (3.22)
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] ORCID: 0000-0003-2478-0331 , Kasper Daniel Hansen [aut]
Maintainer: Leslie Myint <leslie.myint at gmail.com>
Citation (from within R, entercitation("yamss")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("yamss")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("yamss")
Details biocViews MassSpectrometry, Metabolomics, PeakDetection, Software Version 1.35.0 In Bioconductor since BioC 3.4 (R-3.3) (8.5 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 Package Archives
Follow Installation instructions to use this package in your R session.
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