TY  - UNPB
PB  - UCL (University College London)
N1  - Unpublished
TI  - Network models of stochastic processes in cancer
SP  - 1
EP  - 181
AV  - public
N2  - Complex systems which can be modelled as networks are ubiquitous. Well-known examples include social and economic networks, as well as many examples in cell biology such as gene regulatory and protein signalling networks. Many cell biological processes are inherently stochastic and non-stationary, and this is the perspective from which I have developed novel mathematical and computational statistical models, focusing particularly on network models. These models are primarily motivated by cell biological processes relating to DNA methylation and stem cell and cancer biology, but can be generalised to other systems and domains. I have used these and other models to identify and analyse novel DNA-based cancer biomarkers.
Y1  - 2015/09/28/
M1  - Doctoral
ID  - discovery1471225
UR  - https://discovery-pp.ucl.ac.uk/id/eprint/1471225/
A1  - Bartlett, TE
ER  -