Discovering cancer pathways: by inferring combinatorial association logic

Jeroen de Ridder, Jan Bot, Jaap Kool, Anthony Uren, Lodewyk Wessels, Marcel Reinders

Research output: Contribution to conferencePosterScientific


In this study, 43 tumors that were induced by retroviral insertional mutagenesis are expression profiled, resulting in a dataset for which both the initiating events (the viral integration sites) as well as the consequent expression profiles are available.
To capture complex associations that arise due to interaction among insertion target genes, we infer small Boolean logic networks that explicitly incorporate operators to model the potential parallel alternatives (‘exclusive-or’ gates) as well as the potential cooperation between mutations (‘and’ gates).
Original languageEnglish
Number of pages1
Publication statusPublished - 2009


Dive into the research topics of 'Discovering cancer pathways: by inferring combinatorial association logic'. Together they form a unique fingerprint.

Cite this