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Bioconductor - metabCombiner (development version)

metabCombiner

This is the development version of metabCombiner; for the stable release version, see metabCombiner.

Method for Combining LC-MS Metabolomics Feature Measurements

Bioconductor version: Development (3.22)

This package aligns LC-HRMS metabolomics datasets acquired from biologically similar specimens analyzed under similar, but not necessarily identical, conditions. Peak-picked and simply aligned metabolomics feature tables (consisting of m/z, rt, and per-sample abundance measurements, plus optional identifiers & adduct annotations) are accepted as input. The package outputs a combined table of feature pair alignments, organized into groups of similar m/z, and ranked by a similarity score. Input tables are assumed to be acquired using similar (but not necessarily identical) analytical methods.

Author: Hani Habra [aut, cre], Alla Karnovsky [ths]

Maintainer: Hani Habra <hhabra1 at gmail.com>

Citation (from within R, enter citation("metabCombiner")): 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("metabCombiner")

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("metabCombiner")
Combine LC-MS Metabolomics Datasets with metabCombiner HTML R Script Reference Manual PDF NEWS Text Details biocViews MassSpectrometry, Metabolomics, Software Version 1.19.0 In Bioconductor since BioC 3.12 (R-4.0) (4.5 years) License GPL-3 Depends R (>= 4.0) Imports dplyr (>= 1.0), methods, mgcv, caret, S4Vectors, stats, utils, rlang, graphics, matrixStats, tidyr System Requirements URL Bug Reports https://www.github.com/hhabra/metabCombiner/issues See More Package Archives

Follow Installation instructions to use this package in your R session.


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