Functional and genetic analysis of the colon cancer network

Frank Emmert-Streib*, Ricardo Simoes de Matos, Galina Glazko, Simon McDade, Benjamin Haibe-Kanis, Andreas Holzinger, Matthias Dehmer, Frederick Charles Campbell

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Cancer is a complex disease that has proven to be difficult to understand on the single-gene level. For this reason a functional elucidation needs to take interactions among genes on a systems-level into account. In this study, we infer a colon cancer network from a large-scale gene expression data set by using the method BC3Net. We provide a structural and a functional analysis of this network and also connect its molecular interaction structure with the chromosomal locations of the genes enabling the definition of cis- and trans-interactions. Furthermore, we investigate the interaction of genes that can be found in close neighborhoods on the chromosomes to gain insight into regulatory mechanisms. To our knowledge this is the first study analyzing the genome-scale colon cancer network.
Original languageEnglish
Pages (from-to)1-15
JournalBMC Bioinformatics
Issue numberS6
Publication statusPublished - 2014


  • Cancer research
  • Health Informatics
  • Data Science
  • Network Science
  • Graph-Based Data Mining

ASJC Scopus subject areas

  • Information Systems

Fields of Expertise

  • Human- & Biotechnology

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)

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