Discovering cancer pathways: by inferring combinatorial association logic

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

Discovering cancer pathways: by inferring combinatorial association logic

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

Pattern Recognition and Bioinformatics

Research output: Contribution to conference › Poster › Scientific

Abstract

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 language	English
Number of pages	1
Publication status	Published - 2009

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title = "Discovering cancer pathways: by inferring combinatorial association logic",

abstract = "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 ({\textquoteleft}exclusive-or{\textquoteright} gates) as well as the potential cooperation between mutations ({\textquoteleft}and{\textquoteright} gates). ",

author = "{de Ridder}, Jeroen and Jan Bot and Jaap Kool and Anthony Uren and Lodewyk Wessels and Marcel Reinders",

year = "2009",

language = "English",

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TY - CONF

T1 - Discovering cancer pathways

T2 - by inferring combinatorial association logic

AU - de Ridder, Jeroen

AU - Bot, Jan

AU - Kool, Jaap

AU - Uren, Anthony

AU - Wessels, Lodewyk

AU - Reinders, Marcel

PY - 2009

Y1 - 2009

N2 - 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).

AB - 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).

UR - https://d1rkab7tlqy5f1.cloudfront.net/EWI/Over%20de%20faculteit/Afdelingen/Intelligent%20Systems/Delft%20Bioinformatics%20Lab/Research/Poster%20gallery/Jeroen_de_Ridder_BioRange2009.pdf

M3 - Poster

ER -

Discovering cancer pathways: by inferring combinatorial association logic

Abstract

UN SDGs

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