Hierarchy of gene expression data is predictive of future breast cancer outcome

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dc.citation.firstpage56006
dc.citation.issueNumber5
dc.citation.journalTitlePhysical Biology
dc.citation.volumeNumber10
dc.contributor.authorChen, Man
dc.contributor.authorDeem, Michael W.
dc.date.accessioned2015-01-05T20:03:19Z
dc.date.available2015-01-05T20:03:19Z
dc.date.issued2013
dc.description.abstractWe calculate measures of hierarchy in gene and tissue networks of breast cancer patients. We find that the likelihood of metastasis in the future is correlated with increased values of network hierarchy for expression networks of cancer-associated genes, due to the correlated expression of cancer-specific pathways. Conversely, future metastasis and quick relapse times are negatively correlated with the values of network hierarchy in the expression network of all genes, due to the dedifferentiation of gene pathways and circuits. These results suggest that the hierarchy of gene expression may be useful as an additional biomarker for breast cancer prognosis.
dc.identifier.citationChen, Man and Deem, Michael W.. "Hierarchy of gene expression data is predictive of future breast cancer outcome." <i>Physical Biology,</i> 10, no. 5 (2013) IOP Publishing: 56006. http://dx.doi.org/10.1088/1478-3975/10/5/056006.
dc.identifier.doihttp://dx.doi.org/10.1088/1478-3975/10/5/056006
dc.identifier.urihttps://hdl.handle.net/1911/78846
dc.language.isoeng
dc.publisherIOP Publishing
dc.rightsThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by IOP Publishing.
dc.titleHierarchy of gene expression data is predictive of future breast cancer outcome
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpost-print
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