You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Can one use the warpSet or gaussNorm function of flowStats to normalize high-dimensional CyTOF data? I have such data with a 36-marker panel for 70 samples and I want to reduce batch effects among the samples through normalization.
The text was updated successfully, but these errors were encountered:
I think Greg will bring a solid answer.
I just want to point you to the two recent articles on that subject and my post on their approach. http://cytoforum.stanford.edu/viewtopic.php?f=3&t=1875
If you are interested in gaussNorm, Sofie VG has a script that she probably set up during her analysis. I didn't evaluate this as the distribution around the zero looks like a truncated gaussian in the best of the case. I think gaussNorm should be used to realign the positive peak, but the zero stays at zero. https://github.com/saeyslab/CytoNorm_Figures/blob/master/GaussNorm.Rmd
Don't hesitate to share your feedback on Cytoforum.
Best.
Can one use the warpSet or gaussNorm function of flowStats to normalize high-dimensional CyTOF data? I have such data with a 36-marker panel for 70 samples and I want to reduce batch effects among the samples through normalization.
The text was updated successfully, but these errors were encountered: