Dear all, I am wrapping my head around a way to define uniquely expressed genes regardless of any differential expression analysis approaches. Essentially, it has been asked to find some sort of 'method' that allowed me to define a certain gene as uniquely expressed in the dataset in such way that I could see if the latter is shared across other groups in the analysis.
To be more specific, these colleagues asked me to look at the normalised counts matrix (3 replicates and 4 groups) and find a way to look at each row (=gene) and set a fixed definition when a gene is deemed to be expressed vs not expressed.
Any ideas? Not sure whether an ANOVA test can be useful in this case?