Open tannirahman39 opened 2 years ago
Hi,
Thank you for using CARseq. The result is not surprising. The p-values are calculated from a likelihood ratio statistic and the calculation involves fitting two models (a full model and a reduced model), while the log fold change is inferred from the full model only. The shrunken log fold change is estimated from a shrunken full model. Practically I would trust the p-values and shrunken log fold changes more, while the log fold change can be very unstable. Let me know if you have any questions!
On Fri, Aug 19, 2022, 11:36 AM tannirahman39 @.***> wrote:
Hello,
I recently ran a CARseq analysis, but, I noticed that although some genes have a shrunken log fold change, the p value is NA. The log fold change is also high for these genes (e.g 2.7). My questions is: how is it possible to have a fold change but an NA p value?
Thank you!
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Hello,
I may have been unclear in my previous question. I have only been using the shrunken log fold change. However, for some genes, although the shrunken log fold change is high (e.g 2.7), the p value is NA.
Thank you for your help!
Hi,
Thanks for your clarification. As I mentioned previously, the shrunken log fold change is fitted differently, so the result does not always follow the p-values. In your example, when the shrunken log fold change and p-value results don't match, I would probably exclude the gene from the analysis.
On Fri, Aug 19, 2022, 1:31 PM tannirahman39 @.***> wrote:
Hello,
I may have been unclear in my previous question. I have only been using the shrunken log fold change. However, for some genes, although the shrunken log fold change is high (e.g 2.7), the p value is NA.
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Hello,
I recently ran a CARseq analysis, but, I noticed that although some genes have a shrunken log fold change, the p value is NA. The log fold change is also high for these genes (e.g 2.7). My questions is: how is it possible to have a fold change but an NA p value?
Thank you!