Question: EdgeR Paired-Sample Test
1
gravatar for maggiepan
21 months ago by
maggiepan0
maggiepan0 wrote:

Hi,

I am using edgeR to carry out DE analysis for my RNA Seq samples, may I know how can I construct the design matrix and how can I make sure that during testing, the DE genes shown are of the correct contrast?

My current steps are shown below:

Current data type: subject: 1,2,3,4

treatment for each subject: T0, T1

I would like to find DE genes between conditions (T0, T1) for each paired samples:

design <- model.matrix(~Subject+Condition)

d <- d[rowSums(cpm(d)>10) >= (length(G1_ids)/2),,keep.lib.sizes = FALSE ]

d <- calcNormFactors(d)

d <- estimateGLMCommonDisp(d,design)

d <- estimateGLMTrendedDisp(d,design)

d <- estimateGLMTagwiseDisp(d,design)

fit <- glmQLFit(d, design, robust = TRUE)

result_glm <- glmQLFTest(fit)

It seems to me that, using the above steps, I get DE genes which are differentially expressed between samples, not between conditions.

Thank you! Maggie Pan

rna-seq edger • 1.6k views
ADD COMMENTlink modified 21 months ago by Devon Ryan91k • written 21 months ago by maggiepan0
3
gravatar for Devon Ryan
21 months ago by
Devon Ryan91k
Freiburg, Germany
Devon Ryan91k wrote:

Please see section 3.4.2 of the edgeR vignette.

result_glm <- glmQLFTest(fit, coef=5)  # Or maybe coef=4, it'll be the last column in "design"
ADD COMMENTlink written 21 months ago by Devon Ryan91k

May I know if this would be correct to find the difference in each paired samples if there are two paired samples:

design (Intercept) SubjectA ConditionTreatment

1 1 0 0

2 1 0 1

3 1 1 0

4 1 1 1

I used coef = 3 in this case. Thanks!

ADD REPLYlink modified 21 months ago • written 21 months ago by maggiepan0
1

Correct, it'd be coef=3 in that case.

ADD REPLYlink written 21 months ago by Devon Ryan91k

Thank you!!!!

ADD REPLYlink written 21 months ago by maggiepan0
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