Treatment selection based on the presence of one or more specific biomarkers has the potential to optimize treatment outcomes; nonetheless, most patients lack a specific biomarker that is predictive of benefit from one or more targeted treatment approaches. In this Review, the authors describe the potential of computational analysis approaches to enable the discovery of more complex predictive biomarkers based on comprehensive analysis of large clinical and preclinical datasets and thus address this unmet need.
- Xin Wang
- Julia Nguyen
- Benjamin Haibe-Kains
