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

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dc.citation.firstpage56006en_US
dc.citation.issueNumber5en_US
dc.citation.journalTitlePhysical Biologyen_US
dc.citation.volumeNumber10en_US
dc.contributor.authorChen, Manen_US
dc.contributor.authorDeem, Michael W.en_US
dc.date.accessioned2015-01-05T20:03:19Zen_US
dc.date.available2015-01-05T20:03:19Zen_US
dc.date.issued2013en_US
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.en_US
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.en_US
dc.identifier.doihttp://dx.doi.org/10.1088/1478-3975/10/5/056006en_US
dc.identifier.urihttps://hdl.handle.net/1911/78846en_US
dc.language.isoengen_US
dc.publisherIOP Publishingen_US
dc.rightsThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by IOP Publishing.en_US
dc.titleHierarchy of gene expression data is predictive of future breast cancer outcomeen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpost-printen_US
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