BMA

Executable cancer models: successes and challenges
Making decisions on how best to treat cancer patients requires the integration of different data sets, including genomic profiles, …
Matthew A. Clarke, Jasmin Fisher
PDF DOI
Executable cancer models: successes and challenges
Heterogeneity of Myc expression in breast cancer exposes pharmacological vulnerabilities revealed through executable mechanistic modeling
Cells with higher levels of Myc proliferate more rapidly and supercompetitively eliminate neighboring cells. Nonetheless, tumor cells …
Peter Kreuzaler, Matthew A. Clarke, Elizabeth J. Brown, Catherine H. Wilson, Roderik M. Kortlever, Nir Piterman, Trevor Littlewood, Gerard I. Evan, Jasmin Fisher
PDF Dataset Project DOI
Heterogeneity of Myc expression in breast cancer exposes pharmacological vulnerabilities revealed through executable mechanistic modeling
Using State Space Exploration to Determine How Gene Regulatory Networks Constrain Mutation Order in Cancer Evolution
Cancer develops via the progressive accumulation of somatic mutations, which subvert the normal operation of the gene regulatory …
Matthew A. Clarke, Steven Woodhouse, Nir Piterman, Benjamin A. Hall, Jasmin Fisher
PDF Code Dataset Project DOI
Using State Space Exploration to Determine How Gene Regulatory Networks Constrain Mutation Order in Cancer Evolution
Predictive Computational Modelling of the c-myc Gene Regulatory Network for Combinatorial Treatments of Breast Cancer
As cancer tumours develop, competition between cells will favour those with some mutations over others, creating a dynamic …
Matthew A. Clarke
PDF DOI
Predictive Computational Modelling of the c-myc Gene Regulatory Network for Combinatorial Treatments of Breast Cancer