Hi to all,
My question is: Is it possible to assess statistical meaning to RNA-seq data without replicas? I mean the "classical pipeline" is to quantify and normalize data with Salmon or other programs and then go through DEA with DESeq or edgeR for example. I have data coming from different tissues but without replicas unfortunately so I calculated TPM values with Salmon. Reading through different posts I realized that there is no a standard cut-off of TPM to consider a gene like expressed or not. So how I can assess statistical significance to my data to have a real idea about which genes are expressed in my tissues?
Thank you in advance for your time and suggestions