Are there any special or classic techniques for finding potential drug targets with RNA-seq analysis? Say, we have 2 conditions (normal and disease) and it's time-series data (4-5 time points). Should we build gene-regulatory networks and look at DE genes/proteins that form connection "hot spots" (interact with big number of proteins/genes)? Or there are other and better ways? Sorry, just entered this field, maybe there are indeed classical approaches for this type of analysis. Thanks!