Hello, I did a bulkRNA-seq and now have an output gene count file from: featureCounts -s 0 -p -P -d 0 -D 1000 -B --primary -t exon -g gene_name -a gtf -T 6 -o output bam1 bam2 bam3 (I did it via hisat2 then samtools sort then featurecounts using linux command line)
The three bam files belong to 3 cell lines and I want to do a differential analysis on their RNA gene expression, see which cell line expresses higher level of what genes.
The problem is, I did not do any duplicates, so I only have one sample per each cell line, and when I tried doing
dds1 <- DESeq(dds1)
it tells me:
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.
What should I do if I want to compare them and get a result on which gene is expressed higher in one cell line compared to another?
Meanwhile, my data looks like below:
H1_LIM9 NiPSC_LIM9 RUESC_LIM9 DDX11L1 0 0 0 WASH7P 217 209 116 MIR6859-1 1 0 0 MIR1302-2HG 0 0 2 MIR1302-2 0 0 0
Currently I'm importing them into dds via splitting the data matrix into 3 files each with two cell lines, so that they get to be compared with only one other cell line. Is there other better ways?