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Hello,
I have a gene expression dataset organized as follows:
Gene FC12h QV12H FC10d QV10d
Rp1 -0,371 0,797 2,647 0,718
Sox17 15,200 0,438 2,946 0,445
Mrpl15 -1,789 0,218 0,752 0,004
FC represents Folding change and QV the q-value for two situations: 12 hours and 10 days. I already searched a lot, downloaded packages and could not do an analysis of the differential expression of these genes; the most I could was to make a heatmap and separate the genes differentially expressed for each situation. I need to make an Ontology gene with these differentially expressed genes and also a gene interaction network. Someone from some package, some tip, anything that can help me?
This question is a little broad. When comparing gene expression, it is interesting to know which technology was used for gene sequencing. The values placed here are already the log2 fold-change? Have you tried searching for analyses performed by other people who have used the same sequencing technology? Take a look at this link and see how to ask a reproducible question in R. So, people who wish to help you will be able to do this in the best possible way.
– Marcus Nunes