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Statistical Analysis of Molecular Profiles

Bioconductor version: Release (3.19)

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>

Citation (from within R, enter citation("statTarget")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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:

QC_free approach with Combat method HTML R Script
statTarget2 for pathway analysis HTML R Script
statTarget2 On using the Graphical User Interface HTML R Script
Reference Manual PDF


biocViews BatchEffect, ComBat, DifferentialExpression, ImmunoOncology, Lipidomics, Machine Learning, MassSpectrometry, Metabolomics, MultipleComparison, Normalization, Preprocessing, Proteomics, QC-RFSC, QualityControl, Software, Visualization
Version 1.34.0
In Bioconductor since BioC 3.4 (R-3.3) (7.5 years)
License LGPL (>= 3)
Depends R (>= 3.6.0)
Imports randomForest, plyr, pdist, ROC, utils, grDevices, graphics, rrcov, stats, pls, impute
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Suggests testthat, BiocStyle, knitr, rmarkdown
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Follow Installation instructions to use this package in your R session.

Source Package statTarget_1.34.0.tar.gz
Windows Binary
macOS Binary (x86_64) statTarget_1.34.0.tgz
macOS Binary (arm64) statTarget_1.34.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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