I have experimental and computational data for n genes in data matrix. The rows are the genes and columns are its values. Now, the data is from two sources:
- Computational Prediction Results in form of p-values from Fisher Exact Test.
- Count Data results from the experiments across 4 different time points. This count data is basically is the number of signals you get per time point and it could be any positive number. There is no fixed bound.
I am interested in ranking the genes and therefore, I would like to know if there is a way to combine the computational prediction and experimental count result in the form of a statistic or some through some equation. I thought of sorting them in terms of p-values and then in terms of count data but I think it is very naive to do that way.