Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
S. Itani, Karen Sachs, Garry P. Nolan, M. A. Dahle...
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...
This study presents a novel computational approach to identifying a smoking-associated gene signature. The methodology contains the following steps: 1) identifying genes significa...
Background: Many classification approaches have been applied to analyzing transcriptional regulation of gene expressions. These methods build models that can explain a gene's...
Background: In recent years, mammalian protein-protein interaction network databases have been developed. The interactions in these databases are either extracted manually from lo...