SVA 3.40.0 – Surrogate Variable Analysis

SVA 3.40.0

:: DESCRIPTION

The sva package contains functions for removing batch effects and other unwanted variation in high-throughput experiment.

::DEVELOPER

 Johnson lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux / MacOsX
  • R
  • BioConductor

:: DOWNLOAD

 sva

:: MORE INFORMATION

Citation

Bioinformatics. 2012 Mar 15;28(6):882-3. doi: 10.1093/bioinformatics/bts034. Epub 2012 Jan 17.
The sva package for removing batch effects and other unwanted variation in high-throughput experiments.
Leek JT1, Johnson WE, Parker HS, Jaffe AE, Storey JD.

Johnson, WE, Rabinovic, A, and Li, C (2007).
Adjusting batch effects in microarray expression data using Empirical Bayes methods.
Biostatistics 8(1):118-127.

BLISS 0.7 – Identify Batch Effects in RNA Expression Data

BLISS 0.7

:: DESCRIPTION

BLISS (The Batch anaLysIS Suite) is intended to help identify batch effects in RNA expression data.  It has been tested on miRNA and mRNA results derived from the illumina sequencing platform.

::DEVELOPER

Canada’s Michael Smith Genome Sciences Centre

: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows

:: DOWNLOAD

 BLISS

:: MORE INFORMATION