Intelligent data correlation that identifies discovery signatures between multi-omics and clinical datasets accelerating biomarker discovery.

1. Insights from omics datasets can help mine previously unexplored biomarker at specific time points and predict response to the therapy.

2. 
Ability to run Principal component analysis (PCA), identify specific clusters of biomarkers, and identify relevant pharmacogenomics cohorts within the patient subpopulation

3. 
Ability to conduct retrospective screening on specific time points and identify previously missed predictive biomarkers.