I am currently in the process of figuring out which genes are common to each of the data sets. This will involve building a program to find the common genes. I have a good idea of how to do it; it’s a relatively simple problem. The only hangups will probably be translating all the datasets into one universal comparable format, but given enough time to iron out the kinks in all 5 data sets, I think I can manage easily. Eventually, I’ll make a neat Venn diagram illustrating what genes are common to what datasets.
I’m also learning more and more about bayesian probability. This is the basis of the functional interaction network we will eventually use. Anna’s postdoc Ibrahim explained the basics to me. This is a new concept to me, so this week, I’ll also learn more about that as well.