Quick Start

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Citation


Please cite the following article when using statTarget or QC-RFSC algorithm:

Luan H., Ji F., Chen Y., Cai Z. (2018) statTarget: A streamlined tool for signal drift correction and interpretations of quantitative mass spectrometry-based omics data. Analytica Chimica Acta. dio: https://doi.org/10.1016/j.aca.2018.08.002

Luan H., Ji F., Chen Y., Cai Z. (2018) Quality control-based signal drift correction and interpretations of metabolomics/proteomics data using random forest regression. bioRxiv 253583; doi: https://doi.org/10.1101/253583

System requirements


Dependent on R (>= 3.3.0)

If you did not install the R software yet,you can download R >= 3.3.0 from https://www.r-project.org

Installation


Install the “statTarget2” at the Bioconductor

For Windows PC and Linux, copy this code into R

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

 install.packages("BiocManager")

 BiocManager::install("statTarget", version = "3.8")

 library(statTarget)  ## `Load statTarget`. There may be a prompt box for GTK2 Installation, click "OK"

 statTargetGUI()  ## `Execute statTarget GUI` 

Install the “statTarget2” at the github.

 if (!requireNamespace("devtools", quietly = TRUE))

 install.packages("devtools")

 devtools::install_github("statTarget/statTarget2")

 library(statTarget)

 statTargetGUI()

For mac PC, XQuartz instead of X11 support should be installed. Download it from https://www.xquartz.org. R 3.3.0 and RGtk2 2.20.31 are recommended.

RGTK2 is a binding for R to the GTK2 library and dependent libraries, and a multi-platform package for creating graphical user interfaces. If you have any problems about RGTK2 installation, see the related installation information for R and GTK on Windows/Mac OS at https://gist.github.com/sebkopf/9405675

Data Formats

More info: statTarget vignette, reference manual and example data

Input files for Signal Correction

Signal Correction Section

Input files for Statistical Analysis

Statistical Analysis Section