Por Emanuel Gonçalves (INESC-ID, IST - ULisboa).

Identification of robust molecular markers that can stratify patients to guide them to the most effective therapeutic options is paramount for the success of precision medicines. Lack of protein driven computational approaches and large proteomic datasets has limited the discovery of new cancer biomarkers. I will present computational approaches that harness novel proteomics datasets and protein networks to interpret cancer phenotypes and expand beyond genomics and transcriptomics drug target and biomarker discovery pipelines. I will also show how network based methods can be used to study the relation between genotype and human traits and to identify novel disease related genes.

Transmissão via Zoom.