Integrative analysis of the cancer transcriptome View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2005-06

AUTHORS

Daniel R Rhodes, Arul M Chinnaiyan

ABSTRACT

DNA microarrays have been widely applied to the study of human cancer, delineating myriad molecular subtypes of cancer, many of which are associated with distinct biological underpinnings, disease progression and treatment response. These primary analyses have begun to decipher the molecular heterogeneity of cancer, but integrative analyses that evaluate cancer transcriptome data in the context of other data sources are often capable of extracting deeper biological insight from the data. Here we discuss several such integrative computational and analytical approaches, including meta-analysis, functional enrichment analysis, interactome analysis, transcriptional network analysis and integrative model system analysis. More... »

PAGES

s31-s37

References to SciGraph publications

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/ng1570

    DOI

    http://dx.doi.org/10.1038/ng1570

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