Normalization and batch effect adjustment of fluidgm pcr data to be analyzed with Limma
1
0
Entering edit mode
raf4 ▴ 30
@raf4-8249
Last seen 22 months ago
United States

Dear all,

Does fluidgm qt-pcr data which has normalized against a reference gene (eg GAPDH) on each plate

have to be normalized further within and between plates. If so, How does one know which method

to use (quantile, cyclic loess) etc. The data is to be analyzed with Limma.

Thanks and best wishes,

Rich

Richard Friedman, PhD

Columbia University Cancer Center

 

 

fluidigm normalization limma pcr • 1.2k views
ADD COMMENT
0
Entering edit mode
@gordon-smyth
Last seen 1 hour ago
WEHI, Melbourne, Australia

The reason why I use cyclic loess for PCR data is so that the CT values don't have to pre-normalized against a reference gene. Instead one uses the reference gene as an up-weighted control gene in the cyclic loess normalization, see

  qRT-PCR Sample Maximization software analysis and proper experimental design advice or

  DE analysis of PCR array [was: dataset dim for siggenes]

and this gives a useful compromise between reference-gene normalization and global normalization.

If you only have pre-normalized data, perhaps you could quantile normalize, but are you sure you need further normalization at all?

ADD COMMENT

Login before adding your answer.

Traffic: 886 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6