An important challenge facing the field is how better to translate in vitro discoveries to the
clinic. Computational systems biology approaches that use omic data to predict biology …

The unprecedented amount of data produced with high-throughput experimentation forces
biologists to employ mathematical representation and computation to glean meaningful …

The transformation of normal cells into cancer cells and maintenance of the malignant state
and phenotypes are associated with genetic and epigenetic deregulations, altered cellular …

Cancer is a complex and heterogeneous disease, not only at a genetic and biochemical
level, but also at a tissue, organism, and population level. Multiple data streams, from …

In recent years it has become clear that carcinogenesis is a complex process, both at the
molecular and cellular levels. Understanding the origins, growth and spread of cancer …

Cancer systems biology aims to understand cancer as an integrated system of genes,
proteins, networks, and interactions rather than an entity of isolated molecular and cellular …

Cancer is now appreciated as not only a highly heterogenous pathology with respect to cell
type and tissue origin but also as a disease involving dysregulation of multiple pathways …

Abstract The AACR-NCI Conference “Systems Biology: Confronting the Complexity of
Cancer” took place from February 27 to March 2, 2011, in San Diego, CA. Several themes …

The development of cost-effective technologies able to comprehensively assess DNA, RNA,
protein, and metabolites in patient tumors has fueled efforts to tailor medical care. Indeed …

Cancer is a complex and heterogeneous disease that exhibits high levels of robustness
against various therapeutic interventions. It is a constellation of diverse and evolving …