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dc.contributor.authorAltschuler, GM
dc.contributor.authorHofmann, O
dc.contributor.authorKalatskaya, I
dc.contributor.authorPayne, R
dc.contributor.authorSui, SJH
dc.contributor.authorSaxena, U
dc.contributor.authorKrivtsov, AV
dc.contributor.authorArmstrong, SA
dc.contributor.authorCai, T
dc.contributor.authorStein, L
dc.contributor.authorHide, WA
dc.date.accessioned2020-12-17T02:56:10Z
dc.date.available2020-12-17T02:56:10Z
dc.date.issued2013-07-26
dc.identifierpii: gm472
dc.identifier.citationAltschuler, G. M., Hofmann, O., Kalatskaya, I., Payne, R., Sui, S. J. H., Saxena, U., Krivtsov, A. V., Armstrong, S. A., Cai, T., Stein, L. & Hide, W. A. (2013). Pathprinting: An integrative approach to understand the functional basis of disease. GENOME MEDICINE, 5 (7), https://doi.org/10.1186/gm472.
dc.identifier.issn1756-994X
dc.identifier.urihttp://hdl.handle.net/11343/254679
dc.description.abstractNew strategies to combat complex human disease require systems approaches to biology that integrate experiments from cell lines, primary tissues and model organisms. We have developed Pathprint, a functional approach that compares gene expression profiles in a set of pathways, networks and transcriptionally regulated targets. It can be applied universally to gene expression profiles across species. Integration of large-scale profiling methods and curation of the public repository overcomes platform, species and batch effects to yield a standard measure of functional distance between experiments. We show that pathprints combine mouse and human blood developmental lineage, and can be used to identify new prognostic indicators in acute myeloid leukemia. The code and resources are available at http://compbio.sph.harvard.edu/hidelab/pathprint.
dc.languageEnglish
dc.publisherBMC
dc.titlePathprinting: An integrative approach to understand the functional basis of disease
dc.typeJournal Article
dc.identifier.doi10.1186/gm472
melbourne.affiliation.departmentClinical Pathology
melbourne.source.titleGenome Medicine: medicine in the post-genomic era
melbourne.source.volume5
melbourne.source.issue7
dc.rights.licenseCC BY
melbourne.elementsid1220624
melbourne.contributor.authorHofmann, Oliver
dc.identifier.eissn1756-994X
melbourne.accessrightsOpen Access


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