Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso

Understand

In clinical trials, identification of prognostic and predictive biomarkers is essential to precision medicine.

• Prognostic biomarkers can be useful for the prevention of the occurrence of the disease, and predictive biomarkers can be used to identify patients with potential benefit from the treatment.
• Previous researches were mainly focused on clinical characteristics, and the use of genomic data in such an area is hardly studied.
• A new method is required to simultaneously select prognostic and predictive biomarkers in high dimensional genomic data where biomarkers are highly correlated.