Error:The design matrix has the same number of samples and coefficients to fit, so estimation of dispersion is not possible. Treating samples as replicates was deprecated in v1.20 and no longer su
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takisliako • 0
@takisliako-24300
Last seen 22 months ago

Hi everyone,

I've been trying to use DESeq2 to look at expression differences across 4 SRR: 2967085, 2967086, 2973633 and 23351735.

I've used HTseq and got 4 files. An example of the files:

uc001aaa.3  0
uc001aac.4  0
uc001aae.4  0
uc001aah.4  0
uc001aai.1  0
uc001aak.3  0
uc001aal.1  0
uc001aaq.2  0
uc001aar.2  0
uc001aau.3  2



Then i tried:

sampleFiles <- grep("*S",list.files(directory),value=TRUE)
sampleCondition <- sub("(.*S).*","\\1",sampleFiles)
sampleTable <- data.frame(sampleName = sampleFiles,
fileName = sampleFiles,
condition = sampleCondition)
sampleTable$condition <- factor(sampleTable$condition)
sampleCondition
[1] "AS" "BS" "CS" "DS"

library("DESeq2")
ddsHTSeq <- DESeqDataSetFromHTSeqCount(sampleTable = sampleTable,
directory = directory,
design= ~ condition)
ddsHTSeq
dim: 82960 4
assays(1): counts
rownames(82960): uc001aaa.3 uc001aac.4 ... uc031tky.1 uc031tkz.1
rowData names(0):
colnames(4): AS22967085.txt BS22967086.txt CS22973633.txt
DS23351735.txt
colData names(1): condition


And then when i try:

dds <- DESeq(ddsHTSeq)
estimating size factors
estimating dispersions
Error in checkForExperimentalReplicates(object, modelMatrix) :

The design matrix has the same number of samples and coefficients to fit,
so estimation of dispersion is not possible. Treating samples
as replicates was deprecated in v1.20 and no longer supported since v1.22.


I'm new in learning DESeq2. Can anyone help?

deseq2 • 5.6k views
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@james-w-macdonald-5106
Last seen 15 hours ago
United States

The error is telling you that you only have one sample for each sample type. In that situation you can't do any statistical analysis, because you need replicates to estimate the biological variability. It's possible that you have two groups with two samples in each, in which case you need to change your 'condition' to reflect that.

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Dear James,

I also have same issue. conditions. In my case conditions are normal and cancer and file name mentioned as N and C. Kindly tell. How to change and where to change

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In general you should create a new post rather than hopping on old posts. Also, please read the FAQ so you know how to ask a good question. As it stands your question is unanswerable.

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You cannot compare two samples with DESeq2.

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sunnet.ys • 0
@8e7a88b3
Last seen 4 months ago
Germany

Hi Neha, and of course anyone who may encounter this kind of issue in the future. Sometimes you actually have count data that is duplicate or more and you are wondering "but my data is duplicate, why am i still getting this error", then in this case i advice you check you colData table, choose a column of design parameter that reflects your true experimental conditions and use it for your design in the deseq2 functional analysis. It will solve the error.