: The prediction of transcription factor binding sites is an important problem, since it reveals information about the transcriptional regulation of genes. A commonly used represen...
Realistic mechanical models of biological soft tissues are a key issue to allow the implementation of reliable systems to aid on orthopedic diagnosis and surgery planning. We are w...
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
The interplay back and forth between software model checking and hardware model checking has been fruitful for both. Originally intended for the analysis of concurrent software, mo...
Edmund M. Clarke, Anubhav Gupta, Himanshu Jain, He...
Motivation: The functioning of biological networks depends in large part on their complex underlying structure. When studying their systemic nature many modeling approaches focus ...