This is thedevelopmentversion of msmsEDA; for the stable release version, seemsmsEDA.
Bioconductor version: Development (3.17)
Exploratory data analysis to assess the quality of a set of LC-MS/MS experiments, and visualize de influence of the involved factors.
Author: Josep Gregori, Alex Sanchez, and Josep Villanueva
Maintainer: Josep Gregori
Citation (from within R, entercitation("msmsEDA")
):
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") # The following initializes usage of Bioc devel BiocManager::install(version='devel') BiocManager::install("msmsEDA")
For older versions of R, please refer to the appropriateBioconductor release.
查看文档的版本包age installed in your system, start R and enter:
browseVignettes("msmsEDA")
R Script | msmsEDA: Batch effects detection in LC-MSMS experiments | |
Reference Manual |
biocViews | ImmunoOncology,MassSpectrometry,Proteomics,Software |
Version | 1.37.0 |
In Bioconductor since | BioC 2.13 (R-3.0) (9.5 years) |
License | GPL-2 |
Depends | R (>= 3.0.1),MSnbase |
Imports | MASS,gplots,RColorBrewer |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | msmsTests |
Imports Me | |
Suggests Me | Harman,RforProteomics |
Links To Me | |
Build Report |
Follow2021年欧洲杯比分预测 instructions to use this package in your R session.
Source Package | msmsEDA_1.37.0.tar.gz |
Windows Binary | msmsEDA_1.37.0.zip |
macOS Binary (x86_64) | msmsEDA_1.37.0.tgz |
macOS Binary (arm64) | msmsEDA_1.37.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/msmsEDA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/msmsEDA |
Bioc Package Browser | https://code.bioconductor.org/browse/msmsEDA/ |
Package Short Url | //www.andersvercelli.com/packages/msmsEDA/ |
Package Downloads Report | Download Stats |
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