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Bioconductor 3.22 Released

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statTarget

This is thereleased version of statTarget; for the devel version, seestatTarget.

Statistical Analysis of Molecular Profiles

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DOI: 10.18129/B9.bioc.statTarget


Bioconductor version: Release (3.22)

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.

Author: Hemi Luan

Maintainer: Hemi Luan <hemi.luan at gmail.com>

Citation (from within R, entercitation("statTarget")):

Installation

To install this package, start R (version "4.5") and enter:

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

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("statTarget")
QC_free approach with Combat methodHTMLR Script
statTarget2 for pathway analysisHTMLR Script
statTarget2 On using the Graphical User InterfaceHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsBatchEffect,ComBat,DifferentialExpression,ImmunoOncology,Lipidomics,Machine Learning,MassSpectrometry,Metabolomics,MultipleComparison,Normalization,Preprocessing,Proteomics,QC-RFSC,QualityControl,Software,Visualization
Version1.40.0
In Bioconductor sinceBioC 3.4 (R-3.3) (9 years)
LicenseLGPL (>= 3)
DependsR (>= 3.6.0)
ImportsrandomForest,plyr,pdist,ROC, utils, grDevices, graphics,rrcov, stats,pls,impute
System Requirements
URLhttps://stattarget.github.io
See More
Suggeststestthat,BiocStyle,knitr,rmarkdown
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Depends On Me
Imports Me
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Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagestatTarget_1.40.0.tar.gz
Windows Binary (x86_64) statTarget_1.40.0.zip
macOS Binary (x86_64)statTarget_1.40.0.tgz
macOS Binary (arm64)statTarget_1.40.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/statTarget
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/statTarget
Bioc Package Browserhttps://code.bioconductor.org/browse/statTarget/
Package Short Urlhttps://bioconductor.org/packages/statTarget/
Package Downloads ReportDownload Stats

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