Objective Bayesian nets for systems modelling and prognosis in breast cancer
S Nagl, M Williams, J Williamson - Innovations in Bayesian networks …, 2008 - Springer
Cancer treatment decisions should be based on all available evidence. But this evidence is
complex and varied: it includes not only the patient's symptoms and expert knowledge of the …
complex and varied: it includes not only the patient's symptoms and expert knowledge of the …
Machine learning for childhood acute lymphoblastic leukaemia gene expression data analysis: a review
A Chaiboonchoe, S Samarasinghe… - Current …, 2010 - ingentaconnect.com
Among childhood cancer, acute lymphoblastic leukaemia (ALL) has been the most
extensively studied propelled by the desire to improve survival rate. DNA microarray …
extensively studied propelled by the desire to improve survival rate. DNA microarray …
[PDF][PDF] Objective Bayesian nets for integrating cancer knowledge: a systems biology approach
S Nagl, M Williams, N El-Mehidi, V Patkar… - Proceedings of the …, 2006 - Citeseer
According to objective Bayesianism, an agent's degrees of belief should be determined by a
probability function, out of all those that satisfy constraints imposed by background …
probability function, out of all those that satisfy constraints imposed by background …
Modelling Chromosome Missegregation in Tumour Evolution
A Araujo - 2013 - discovery.ucl.ac.uk
Cancer is a disease in which the controls that usually ensure the coordinated behaviour of
individual cells break down. This rarely happens all at once. Instead, the clone of cells that …
individual cells break down. This rarely happens all at once. Instead, the clone of cells that …