Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/107171
Title: FUSE : a system for data-driven multi-level functional summarization of protein interaction networks
Authors: Seah, Boon-Siew
Dewey Jr., C. Forbes
Yu, Hanry
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
http://hdl.handle.net/10220/16669
DOI: 10.1145/2110363.2110470
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

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