Seminario Bioinformática: FUNCTIONAL MULTI-OMIC DATA INTEGRATION FOR TUMOR SUBTYPE CHARACTERIZATION AND POTENTIAL BIOMARKER DISCOVERY
FUNCTIONAL MULTI-OMIC DATA INTEGRATION FOR TUMOR SUBTYPE CHARACTERIZATION AND POTENTIAL BIOMARKER DISCOVERY
ELMER FERNANDE Z , PhD
Bioscience Data Mining Group Universidad Católica de Córdoba Córdoba , Argentina
Jueves 30 de agosto del 2018 12:00 hrs
Corporación Nacional del Cáncer – CONAC Piso -1 • CONAC
Seminario 86 Providencia • Santiago
Personalized medicine pursue the appropriate identification of the patient-therapy relationship. This implies several assumptions about this pair. For instance we will need to perform accurate diagnosis (i.e class, risk or outcome predictions), we will have to appropriately characterize our population, thus compare it with other cohorts. All these unsolved topics are crucial for personalized medicine to succeed. Here we will present new approaches that we are currently developing to fulfill this gap and their application on Breast Cancer characterization and biomarker identification.