
Integrative Analysis of Cancer Imaging Readouts by Networks
Cancer is a multifactorial and heterogeneous disease. The corresponding complexity appears at multiple levels: from the molecular and the cellular constitution to the macroscopic phenotype, and at the diagnostic and therapeutic management stages. Read more “Integrative Analysis of Cancer Imaging Readouts by Networks”