SPEAKER
Prof Kathleen MARCHAL
Associate Professor, Dept of Plant
Biotechnology and Bioinformatics, Faculty
of Sciences; Dept of Information Technology
(IDLab, IMEC), Faculty of Engineering,
Ghent University, Gent, Nederlands
HOST:
LIH / University of Luxembourg
RESPONSIBLE LIH SCIENTISTS:
Francisco Azuaje
(francisco.azuaje@lih.lu)
Léon-Charles Tranchevent
(leon-charles.tranchevent@lih.lu)
www.lih.lu
www.uni.lu
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INTEGRATIVE NETWORK-BASED ANALYSIS FOR SUBTYPING
AND CANCER DRIVER IDENTIFICATION
ABSTRACT
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Linking omics data of tumor samples with
the patients’ clinical phenotype offers the
potential to identify biomarkers and drug
targets. Network-based approaches, which
drive the genotype phenotype association
by a prior molecular interaction network,
are powerful data analysis strategies as
they allow (1) dealing with small cohort
sizes, (2) providing an intuitive scaffold for
integrating multiple data sources in order
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to identify pathways that are recurrently
hit by mutations, but also functionally
affected by these mutations and (3) providing
insight in the mechanism of the cancer-related
phenotype. We will illustrate the
power of fully integrated network models
in prioritizing rare mutations that can be
coupled to a functional and/or a clinical
phenotype.
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