Hi, I have a time-series data (7 time points & 2 replicates) and want to perform differential expression analysis. I am still new to this field and would like to find out more how to go about doing this. What I have thought of so far: 1) Finding differentially expressed genes between different time points (eg time 1 vs time 2, time 2 vs time 3, etc) 2) Finding differentially expressed genes across all the different time points
Are these 2 approaches correct or if not, how should I improve this?
And since DE tools such as edgeR and DESeq2 require design matrix as the input, may I know how to create the design matrix for the analysis I intend to do? Thank you!