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Functional and genetic analysis of the colon cancer network.

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Functional and genetic analysis of the colon cancer network. / Emmert-Streib, Frank; de Matos Simoes, Ricardo; Glazko, Galina; McDade, Simon; Haibe-Kains, Benjamin; Holzinger, Andreas; Dehmer, Matthias; Campbell, Frederick.

In: BMC Bioinformatics, Vol. 15, No. Suppl 6, S6, 2014.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Emmert-Streib, F, de Matos Simoes, R, Glazko, G, McDade, S, Haibe-Kains, B, Holzinger, A, Dehmer, M & Campbell, F 2014, 'Functional and genetic analysis of the colon cancer network.', BMC Bioinformatics, vol. 15, no. Suppl 6, S6.

APA

Emmert-Streib, F., de Matos Simoes, R., Glazko, G., McDade, S., Haibe-Kains, B., Holzinger, A., ... Campbell, F. (2014). Functional and genetic analysis of the colon cancer network. BMC Bioinformatics, 15(Suppl 6), [S6].

Vancouver

Emmert-Streib F, de Matos Simoes R, Glazko G, McDade S, Haibe-Kains B, Holzinger A et al. Functional and genetic analysis of the colon cancer network. BMC Bioinformatics. 2014;15(Suppl 6). S6.

Author

Emmert-Streib, Frank ; de Matos Simoes, Ricardo ; Glazko, Galina ; McDade, Simon ; Haibe-Kains, Benjamin ; Holzinger, Andreas ; Dehmer, Matthias ; Campbell, Frederick. / Functional and genetic analysis of the colon cancer network. In: BMC Bioinformatics. 2014 ; Vol. 15, No. Suppl 6.

Bibtex - Download

@article{924ec39d9bc84749979cbe583233550f,
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.",
author = "Frank Emmert-Streib and {de Matos Simoes}, Ricardo and Galina Glazko and Simon McDade and Benjamin Haibe-Kains and Andreas Holzinger and Matthias Dehmer and Frederick Campbell",
year = "2014",
language = "English",
volume = "15",
journal = "BMC Bioinformatics",
issn = "1471-2105",
publisher = "Springer Verlag",
number = "Suppl 6",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Functional and genetic analysis of the colon cancer network.

AU - Emmert-Streib, Frank

AU - de Matos Simoes, Ricardo

AU - Glazko, Galina

AU - McDade, Simon

AU - Haibe-Kains, Benjamin

AU - Holzinger, Andreas

AU - Dehmer, Matthias

AU - Campbell, Frederick

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84907412397&partnerID=8YFLogxK

M3 - Article

VL - 15

JO - BMC Bioinformatics

JF - BMC Bioinformatics

SN - 1471-2105

IS - Suppl 6

M1 - S6

ER -