statTarget
Statistical Analysis of Molecular Profiles
Bioconductor version: 3.24 · Package version: 1.43.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
A streamlined tool provides a graphical user interface for quality control based signal drift correction (QC-RFSC), integration of data from multi-batch MS-based experiments, and the comprehensive statistical analysis in metabolomics and proteomics.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("statTarget") Details
| Maintainer | Hemi Luan <hemi.luan@gmail.com> |
| Author | Hemi Luan |
| License | LGPL (>= 3) |
| URL | https://stattarget.github.io |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | BatchEffect, ComBat, DifferentialExpression, ImmunoOncology, Lipidomics, Machine Learning, MassSpectrometry, Metabolomics, MultipleComparison, Normalization, Preprocessing, Proteomics, QC-RFSC, QualityControl, Software, Visualization |
| Package Short Url | https://bioconductor.org/packages/statTarget/ |
Citation
From within R, enter citation("statTarget"):
Hemi Luan. statTarget: Statistical Analysis of Molecular Profiles. doi:10.18129/B9.bioc.statTarget, R package version 1.43.0, https://bioconductor.org/packages/statTarget.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | statTarget_1.43.0.tar.gz |
| Windows binary (x86_64) | statTarget_1.43.0.zip |
| macOS binary (arm64) | statTarget_1.43.0.tgz |
| macOS binary (x86_64) | statTarget_1.43.0.tgz |