Search
Question: When should I use betaprior=T
0
gravatar for andrebolerbarros
5 days ago by
andrebolerbarros0 wrote:

Hi everyone,

I have RNASeq Data, with 4 conditions, 2 replicates each (very far from ideal, I know). By looking at my data through heatmap and PCA, I see that there are relevant differences within conditions, among replicates.

To further analyze this dataset, I got the recommendation of using betaPrior=TRUE instead of the default FALSE. What I would like to know is if there's any scenario where using this option is more recommendable than following the standard pipeline (betaPrior=FALSE w/ lfcshrink).

Thanks!

ADD COMMENTlink modified 5 days ago by Michael Love20k • written 5 days ago by andrebolerbarros0
0
gravatar for Michael Love
5 days ago by
Michael Love20k
United States
Michael Love20k wrote:

Not really a use case. It’s obsolete except we kept it to not break old code that used it. The apeglm paper shows that the new heavy tailed methods (apeglm and ashr) outperform the Normal prior pretty much in every case.

ADD COMMENTlink written 5 days ago by Michael Love20k
Please log in to add an answer.

Help
Access

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.
Powered by Biostar version 2.2.0
Traffic: 240 users visited in the last hour