dc.contributor.authorSeah, Boon-Siew
dc.contributor.authorBhowmick, Sourav S.
dc.contributor.authorDewey Jr., C. Forbes
dc.contributor.authorYu, Hanry
dc.date.accessioned2013-10-21T08:57:55Z
dc.date.available2013-10-21T08:57:55Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.citationSeah, B.-S., Bhowmick, S. S., Dewey, C. F., & Yu, H. (2012). FUSE : a system for data-driven multi-level functional summarization of protein interaction networks. Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium, pp847-850.en_US
dc.identifier.urihttp://hdl.handle.net/10220/16669
dc.description.abstractDespite recent progress in high-throughput experimental studies, systems level visualization and analysis of large protein interaction networks (PPI) remains a challenging task, given its scale and high-dimensionality. Specifically, techniques that automatically abstract and summarize PPIs at multiple resolutions to provide high level views of its functional landscape are still lacking. In this demonstration, we present a novel data-driven and generic system called FUSE (Functional Summary Generator) that generates functional maps of a PPI at different levels of organization, from broad process-process level interactions to in-depth complex-complex level interactions. By simultaneously evaluating interaction and annotation data, FUSE abstracts higher-order interaction maps by reducing the details of the underlying PPI to form a functional summary graph of interconnected functional clusters. We demonstrate various innovative features of FUSE which aid users to visualize these summaries in a user-friendly manner and navigate through complex PPIs.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
dc.titleFUSE : a system for data-driven multi-level functional summarization of protein interaction networksen_US
dc.typeConference Paper
dc.contributor.conferenceInternational Health Informatics Symposium (2nd : 2012 : Miami, USA)en_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1145/2110363.2110470


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