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|Title:||FUSE : a system for data-driven multi-level functional summarization of protein interaction networks||Authors:||Seah, Boon-Siew
Dewey Jr., C. Forbes
Bhowmick, Sourav S.
|Keywords:||DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling||Issue Date:||2012||Source:||Seah, 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.||Abstract:||Despite 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.||URI:||https://hdl.handle.net/10356/107171
|DOI:||10.1145/2110363.2110470||Fulltext Permission:||none||Fulltext Availability:||No Fulltext|
|Appears in Collections:||SCSE Conference Papers|
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