Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...
Abstract. We report on the results of an investigation into the integration of Petri nets and ordinary differential equations (ODEs) for the modelling and analysis of biochemical n...
Abstract--Today's molecular biology is confronted with enormous amounts of data, generated by new high-throughput technologies, along with an increasing number of biological m...
This position paper argues that the operational modelling approaches from the formal methods community can be applied fruitfully within the systems biology domain. The results can ...
Nicola Bonzanni, K. Anton Feenstra, Wan Fokkink, E...