A systems-biology approach to complex disease (such as cancer) is now complementing
traditional experience-based approaches, which have typically been invasive and …

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 …

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 …

Abstract Systems biology focuses on the study of interacting components of biological
systems rather than on the analysis of single genes or proteins and offers a new approach to …

Abstract Systems biology combines computational modeling with quantitative experimental
measurements to study complex biological processes. Here, we outline an approach for …

Systems biology uses systems of mathematical rules and formulas to study complex
biological phenomena. In cancer research there are three distinct threads in systems biology …

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 …

Cancer is a complex disease that involves multiple types of biological interactions across
diverse physical, temporal, and biological scales. This complexity presents substantial …

In order to understand how a cancer cell is functionally different from a normal cell it is
necessary to assess the complex network of pathways involving gene regulation, signaling …