Hello everybody.
In our laboratory we are analyzing RNAseq data to do a differential expression analysis. Now we are using DESeq and we want to select the most differentially expressed genes using just fold change value. The RNAseq experiment has no replicates, so i dont care about statistics. it is just a descriptive study.
The problem is that we cannot sort the list because of "Inf" and "-Inf" fold change values. We are thinking to sum 1 to the whole count matrix to avoid the zero counts problem. Is this a good idea? Is there some inconvenients?
Thanks in advance
In our laboratory we are analyzing RNAseq data to do a differential expression analysis. Now we are using DESeq and we want to select the most differentially expressed genes using just fold change value. The RNAseq experiment has no replicates, so i dont care about statistics. it is just a descriptive study.
The problem is that we cannot sort the list because of "Inf" and "-Inf" fold change values. We are thinking to sum 1 to the whole count matrix to avoid the zero counts problem. Is this a good idea? Is there some inconvenients?
Thanks in advance
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