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|Title:||FUSE: A system for data-driven multi-level functional summarization of protein interaction networks||Authors:||Seah, B.-S.
Dewey Jr., C.F.
|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|
|Appears in Collections:||Staff Publications|
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