Modelling the Genetic and Epigenetic Signals in Colon Cancer Using a Bayesian Network

Conference paper
Part of the Springer Proceedings in Complexity book series (SPCOM)


Cancer, the unregulated growth of cells, has been a major area of focus of research for years due to its impact on human health. Cancer development can be traced back to aberrant modifications in genetic and epigenetic mechanisms within the body over time. Given time and cost implications of human genome experimentation, computational modeling is increasingly being employed to improve understanding of mechanisms which determine cancer initiation and progression. Here, we introduce a network-based model for genetic and epigenetic signals in colorectal cancer, with the focus on the gene level and tumor pathways. The current framework also considers the influence of ageing for micromolecular events in cancer development.


Genetic and epigenetic events Colon cancer Bayesian network Ageing 



This project acknowledges financial support from CIESCI ERA-Net Complexity Project, (EU/IRCSET). Access to the StatEpigen database is also gratefully acknowledged.


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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.Centre for Scientific Computing & Complex Systems Modelling (SCI-SYM), School of ComputingDublin City UniversityDublinIreland

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