13479776 / statTarget

Statistical Analysis of Molecular Profile https://stattarget.github.io
5 stars 6 forks source link
bioconductor combat comprehensive-statistic-analysis graphical-user-interface metabolomics qc-rlsc quality-control shift-signal-correction software software-engineering

statTarget2

GitHub release GitHub release GitHub release GitHub release GitHub release

For details and latest version see https://stattarget.github.io/docs/

Package vignettes: Vignettes

Reference manual: Manual

Demo data: Data

Example reports: Reports

Binary Package: statTarget2_WindowsOnly.zip

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 “statTarget2” at the Bioconductor

if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("statTarget", version = "devel") 
library(statTarget)
statTargetGUI()

Install the version of "statTarget2" at Github. copy this code into R

library(devtools)

devtools::install_github("statTarget/statTarget2")

library(statTarget)

statTargetGUI()

IMPORTANCE: for mac PC, XQuartz instead of X11 support should be installed for the Graphical User Interface (GUI). Download it from https://www.xquartz.org.

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.

We recommend the R 3.3.0 and RGtk2 2.20.31 for mac OS paltform. The R 3.3.0 and RGtk2 2.20.31 sailed through the test. If you have multiple versions of R framework installed, RSwitch - a small GUI that allows you to switch between R versions quickly. Download it from https://r.research.att.com