Ontology highlight
ABSTRACT:
SUBMITTER: Youfang Cao
PROVIDER: MODEL1308080003 | BioModels | 2005-01-01
REPOSITORIES: BioModels
Items per page: 1 - 5 of 11 |
Proceedings of the National Academy of Sciences of the United States of America 20101011 43
Computational studies of biological networks can help to identify components and wirings responsible for observed phenotypes. However, studying stochastic networks controlling many biological processes is challenging. Similar to Schrödinger's equation in quantum mechanics, the chemical master equation (CME) provides a basic framework for understanding stochastic networks. However, except for simple problems, the CME cannot be solved analytically. Here we use a method called discrete chemical mas ...[more]