I did deep sequencing for microRNAs using 8 different kind of treatments. Now I am making the heat -map for deferentially expressed microRNAs. Most of the microRNAs having good differential expression values (log2 fold change) but at the same time those microRNAs having non-significant results in 2 or 3 or 4 treatments while having good significant results in the rest of the samples. Can I include these non-significant results while constructing the heat -map?
Yes, it doesnt matter. The only thing I would add is that when you do a heatmap taking into acccount non significant results is that those microRNAs will not show so much contrast comparing the different conditions. If you use just significant microRNAs, the contrast between the different treatments will probably be bigger.
Hamid:
If you are dealing with on two samples say control and treatment, there is no point in including the non-significant ones. But if it is a time-course or multiple treatment experiment you need to include non-significant data if atleast one treatment has significant gene/miRNA.
- Badges
- Science topic
- Similar topics
- Biological Science
- Biochemistry
- Biomolecules
- Nucleic Acids
- RNA
- Small RNA
- microRNA