Bioconductor version: Release (3.17)
This package uses an innovative network-based approach that will enhance our ability to determine the identities of significant ions detected by LC-MS.
Author: Zhenzhi Li <zzrickli at gmail.com>
Maintainer: Zhenzhi Li <zzrickli at gmail.com>
Citation (from within R,
enter citation("MetID")
):
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("MetID")
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("MetID")
HTML | R Script | Introduction to MetID |
Reference Manual |
biocViews | AssayDomain, BiologicalQuestion, Infrastructure, KEGG, Network, ResearchField, Software, StatisticalMethod, Technology, WorkflowStep |
Version | 1.18.0 |
In Bioconductor since | BioC 3.8 (R-3.5) (5 years) |
License | Artistic-2.0 |
Depends | R (>= 3.5) |
Imports | utils (>= 3.3.1), stats (>= 3.4.2), devtools (>= 1.13.0), stringr (>= 1.3.0), Matrix (>= 1.2-12), igraph (>= 1.2.1), ChemmineR(>= 2.30.2) |
LinkingTo | |
Suggests | knitr (>= 1.19), rmarkdown (>= 1.8) |
SystemRequirements | |
Enhances | |
URL | https://github.com/ressomlab/MetID |
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 | MetID_1.18.0.tar.gz |
Windows Binary | MetID_1.18.0.zip |
macOS Binary (x86_64) | MetID_1.18.0.tgz |
macOS Binary (arm64) | MetID_1.18.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/MetID |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MetID |
Bioc Package Browser | https://code.bioconductor.org/browse/MetID/ |
Package Short Url | https://bioconductor.org/packages/MetID/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.17 | Source Archive |
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