## Dataset 1 in : A Bayesian spatial random effects model characterisation of tumour heterogeneity implemented using Markov chain Monte Carlo ( MCMC ) simulation

- King, M Grech-Sollars
- 2016

@inproceedings{GrechSollars2016ABS, title={A Bayesian spatial random effects model characterisation of tumour heterogeneity implemented using Markov chain}, author={Grech-Sollars}, year={2016} }

- Published 2016

The focus of this study is the development of a statistical modelling procedure for characterising intra-tumour heterogeneity, motivated by recent clinical literature indicating that a variety of tumours exhibit a considerable degree of genetic spatial variability. A formal spatial statistical model has been developed and used to characterise the structural heterogeneity of a number of supratentorial primitive neuroectodermal tumours (PNETs), based on diffusion-weighted magnetic resonance… CONTINUE READING