Visualization of Zoomable Network for Multi-Compounds and Multi-Targets Analysis

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dc.contributor.authorPark, Jaesubko
dc.contributor.authorKim, Jaehoko
dc.contributor.authorPark, Junseokko
dc.contributor.authorBae, Sunghwako
dc.contributor.authorKim, Hyungseokko
dc.contributor.authorLee, Doheonko
dc.date.accessioned2020-03-19T05:24:29Z-
dc.date.available2020-03-19T05:24:29Z-
dc.date.created2020-02-21-
dc.date.issued2014-11-
dc.identifier.citationthe ACM 8th International Workshop on Data and Text Mining in Bioinformatics - DTMBIO '14, pp.45-
dc.identifier.urihttp://hdl.handle.net/10203/273168-
dc.description.abstractRecent explosively increased bio-data enable to simulate the metabolism on whole body scale and it bring about needs of bioinformatics tools for visualizing and analyzing it. For such tools zooming is a key method for visualizing large and complex network in a single view[1]. But unfortunately most of developed tools are too dependent on the elaborately constructed hierarchy to get zoom function. So we developed the zoomable visualization system for the large bio-molecule network without preformed hierarchy data.-
dc.languageEnglish-
dc.publisherACM Press-
dc.titleVisualization of Zoomable Network for Multi-Compounds and Multi-Targets Analysis-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.beginningpage45-
dc.citation.publicationnamethe ACM 8th International Workshop on Data and Text Mining in Bioinformatics - DTMBIO '14-
dc.identifier.conferencecountryCC-
dc.identifier.conferencelocationShanghai, China-
dc.identifier.doi10.1145/2665970.2665988-
dc.contributor.localauthorLee, Doheon-
dc.contributor.nonIdAuthorPark, Jaesub-
dc.contributor.nonIdAuthorKim, Jaeho-
dc.contributor.nonIdAuthorPark, Junseok-
dc.contributor.nonIdAuthorBae, Sunghwa-
dc.contributor.nonIdAuthorKim, Hyungseok-
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