title: Functional and genetic analysis of the colon cancer network.
abstract: 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.
authors: Frank
authors: F
authors: Emmert-Streib
authors: Ricardo
authors: R
authors: de Matos Simoes
authors: Galina
authors: G
authors: Glazko
authors: Simon
authors: S
authors: McDade
authors: Benjamin
authors: B
authors: Haibe-Kains
authors: Andreas
authors: A
authors: Holzinger
authors: Matthias
authors: M
authors: Dehmer
authors: Frederick
authors: F
authors: Campbell
mesh_terms: D003110:Colonic Neoplasms / Q000235:genetics* / Q000378:metabolism; D019295:Computational Biology; D020869:Gene Expression Profiling; D053263:Gene Regulatory Networks; D006801:Humans; D011506:Proteins / Q000235:genetics / Q000378:metabolism
chemical_list: D011506:Proteins