On 2020-08-01 15:52 -0400, Matthew McCormack wrote:
| On 8/1/20 1:13 PM, Jeff Newmiller wrote:
| | On August 1, 2020 4:01:08 AM PDT, Anas Jamshed wrote:
| | | I performed this in GEO2R and find
| | | R script there and Runs R script
Anas, how did you come up with this
script at all by reading t
As with the previous post, I agree that Bioconductor will be a better
place to ask this question.
As a quick thought you also might try to adjust the p-value in the last
line:
DEGs = subset(tT, P.Value < 0.01 & abs(logFC) > 2). You could play
around with the P.Value, 0.01 is pretty low, you co
https://www.bioconductor.org/help/
On August 1, 2020 4:01:08 AM PDT, Anas Jamshed
wrote:
>I choose microarray data GSE75693 of 30 patients with stable kidney
>transplantation and 15 with BKVN to identify differentially expressed
>genes
>(DEGs). I performed this in GEO2R and find R script there a
I choose microarray data GSE75693 of 30 patients with stable kidney
transplantation and 15 with BKVN to identify differentially expressed genes
(DEGs). I performed this in GEO2R and find R script there and Runs R script
Successfully on R studio as well. The R script is :
# Differential expression
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