METHODS FOR CLASSIFYING SAMPLES BASED ON NETWORK MODULARITY

摘要

Methods for classifying samples are based on alterations in network modularity. The methods are useful for the diagnosis, prognosis and monitoring of a biological state such as a disease state. In certain embodiments, methods for diagnosing disease or evaluating the prognosis of disease or identification of a disease state are computer-implemented.