Hi all, I'm pretty new to R and DGE (consider your self warned) and can't get my head around how to control for transfection effect in my Deseq2 model design. I have three treatments in duplicate samples: Control siRNA target siRNA control/scramble
I made following table:
sampleName fileName condition transfection
1 1 ctrl 0
2 2 ctrl 0
3 3 siRNA target 1
4 4 siRNA target 1
5 5 siRNA control 1
6 6 siRNA control 1
I tried to create DESeqDataSet as following:
ddsHTSeq <- DESeqDataSetFromHTSeqCount(sampleTable = sampleTable,
directory = directory,
design= ~ condition + transfection)
However, I get the error message:
Error in checkFullRank(modelMatrix) :
the model matrix is not full rank, so the model cannot be fit as specified.
Levels or combinations of levels without any samples have resulted in
column(s) of zeros in the model matrix.
Please read the vignette section 'Model matrix not full rank':
vignette('DESeq2')
I would really appreciate if anyone could help me and give advice on how to analyse my data so I discard the transfection effect.
Thanks
Thanks for the reply. I will try that, thanks :-)