ARSyN – Multivariate approach to Correct Batch Effects in Multifactorial Gene Expression datasets

ARSyN

:: DESCRIPTION

ARSyN (ASCA Removal of Systematic Noise) is a R package for filtering single and multiseries time course microarray experiments.

::DEVELOPER

María José Nueda Roldán

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/Windows/MacOsX
  • R package

:: DOWNLOAD

 ARSyN

:: MORE INFORMATION

Citation

Biostatistics. 2012 Jul;13(3):553-66. doi: 10.1093/biostatistics/kxr042. Epub 2011 Nov 14.
ARSyN: a method for the identification and removal of systematic noise in multifactorial time course microarray experiments.
Nueda MJ1, Ferrer A, Conesa A.

ASCA-genes 1.2.1 – R package for the analysis of Multifactorial Gene Expression data

ASCA-genes 1.2.1

:: DESCRIPTION

ASCA-genes is an adaptation of the ASCA method (ANOVA Simultaneous Component Analysis) developed by Smilde and co-workers, to the analysis of multifactorial experiments in transcriptomics.

::DEVELOPER

The Genomics of Gene Expression Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 ASCA-genes

:: MORE INFORMATION

Citation

Bioinformatics. 2007 Jul 15;23(14):1792-800. Epub 2007 May 22.
Discovering gene expression patterns in time course microarray experiments by ANOVA-SCA.
Nueda MJ1, Conesa A, Westerhuis JA, Hoefsloot HC, Smilde AK, Talón M, Ferrer A.

Exit mobile version