My primary area of research is computational drug design. Recently I am exploring gene expression and protein-protein interaction network analysis. I would like to be an expert in biomarker discovery and I am trying to find a research area in biomarker discovery that I could focus on.
I think gene expression (microarray) data is more easily available than proteomics or metabolomics data. I commonly see that people process gene expression data and develop a signature that could classify disease and non-disease conditions. Is this approach getting outdated?
I would really appreciate comments/suggestions from more experienced people in this forum (By this, I mean everyone else in this forum except me) on:
1) What are the major research areas in computational biomarker discovery? (or) what are the major trends in biomarker discovery? In which direction is this research going?
2) If you are a mentor who has to train a new entrant to be an expert in biomarker discovery, what would you advice him to learn or focus?
Thanks for your time.