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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.

DOI: 10.18129/B9.bioc.statTarget

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("statTarget")

Details

MaintainerHemi Luan <hemi.luan@gmail.com>
AuthorHemi Luan
LicenseLGPL (>= 3)
URLhttps://stattarget.github.io
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsBatchEffect, 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 packagestatTarget_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
Dependencies

Depends: R (>= 3.6.0)

Imports: randomForest, plyr, pdist, ROC, utils, grDevices, graphics, rrcov, stats, pls, impute

Suggests: testthat, BiocStyle, knitr, rmarkdown