what should be our references when 2 samples which I compare are treated and there is not any control?
1
0
Entering edit mode
@4fedfa78
Last seen 17 months ago
Japan

Hello everyone, I would like to use DESeq2 for my analysis but 2 samples are treated, imean there are 2 genes which I want to see the effects of drugs on both. but based on DESeq2, I must specified one as references as I am writing the codes as below, there is not any "control", so what should I do in this case?

Code should be placed in three backticks as shown below

dds$condition <- relevel(dds$condition, ref = "")


# include your problematic code here with any corresponding output 
# please also include the results of running the following in an R session 

sessionInfo( )
DESeq2 • 894 views
ADD COMMENT
0
Entering edit mode
swbarnes2 ★ 1.3k
@swbarnes2-14086
Last seen 13 hours ago
San Diego

You only have 2 samples? Total?

ADD COMMENT
0
Entering edit mode

Actually, not in total, there are untreated samples too. but beside comparing treated and untreated I must compare 2 treated, to see drug affects on 2 different genes, it is my first time that I am doing compare 2 treated, what is the solution?

ADD REPLY
0
Entering edit mode

Read over the vignette. You can use contrast in the results() function. It is described in the vignette.

http://bioconductor.org/packages/devel/bioc/vignettes/DESeq2/inst/doc/DESeq2.html#contrasts

ADD REPLY
0
Entering edit mode

Many thanks for your always cooperation. I checked the link which you attached but I have a question, it means first I must follow the DESeq2 as usual and then after running at the result part I should use the "contrast" command as below?

results(dds, contrast=c("condition","C","B"))

and my another question is that because the condition is treated for both samples at all, so when I want to make my table.csv so should I name both treated for condition and what it means by "C","B" in the above command?

Thanks in advance

ADD REPLY
1
Entering edit mode

Hmm, if this section of the vignette is confusing, I think you'd be better off discussing with a local collaborator. It's important that you have a good understanding of what it means that you are forming a contrast of these two terms in a linear model.

ADD REPLY

Login before adding your answer.

Traffic: 943 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6