Please use this identifier to cite or link to this item: https://doi.org/10.1145/2110363.2110470
Title: FUSE: A system for data-driven multi-level functional summarization of protein interaction networks
Authors: Seah, B.-S.
Bhowmick, S.S.
Dewey Jr., C.F.
Yu, H. 
Keywords: Algorithms
Performance
Issue Date: 2012
Citation: Seah, B.-S.,Bhowmick, S.S.,Dewey Jr., C.F.,Yu, H. (2012). FUSE: A system for data-driven multi-level functional summarization of protein interaction networks. IHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium : 847-850. ScholarBank@NUS Repository. https://doi.org/10.1145/2110363.2110470
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. Copyright © 2012 ACM.
Source Title: IHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
URI: http://scholarbank.nus.edu.sg/handle/10635/115426
ISBN: 9781450307819
DOI: 10.1145/2110363.2110470
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