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View Code? Open in Web Editor NEWR package for analysing single cell data
License: GNU General Public License v3.0
R package for analysing single cell data
License: GNU General Public License v3.0
Hi,
Thanks for the clear explanations of your vignette!
I am interested in fitting a mixed-effect model (i.e., including the sequencing lane as a random effect). I noticed that in the 'More complex (or just different) experimental designs' section, you suggest to use lmFit()
for LM, or duplicateCorrelation()
for LMM, but I was wondering whether I could use dream()
on the transformed proportions (props$TransformedProps
of the vignette) since dream()
can hold mixed-models and lmFit()
not. See section 'Dream Analysis' for more details.
Thanks a lot!
Best,
Aida
Hello,
Thank you for this useful package.
When I provide a vector with 2 levels for the clusters argument in the propeller
function, I get the following error :
Error in tmixture.matrix(out$t, stdev.unscaled, df.total, proportion, : Dims of tstat and stdev.unscaled don't match
Is it not possible to find differences of proportions when we only have 2 levels of cluster ?
FYI, I don't have any issue when the clusters argument has more than 2 levels and my study is based on the differences between 2 groups.
Thank you for your help.
Regards,
Yannick
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