DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Jaesub | ko |
dc.contributor.author | Kim, Jaeho | ko |
dc.contributor.author | Park, Junseok | ko |
dc.contributor.author | Bae, Sunghwa | ko |
dc.contributor.author | Kim, Hyungseok | ko |
dc.contributor.author | Lee, Doheon | ko |
dc.date.accessioned | 2020-03-19T05:24:29Z | - |
dc.date.available | 2020-03-19T05:24:29Z | - |
dc.date.created | 2020-02-21 | - |
dc.date.issued | 2014-11 | - |
dc.identifier.citation | the ACM 8th International Workshop on Data and Text Mining in Bioinformatics - DTMBIO '14, pp.45 | - |
dc.identifier.uri | http://hdl.handle.net/10203/273168 | - |
dc.description.abstract | Recent 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.language | English | - |
dc.publisher | ACM Press | - |
dc.title | Visualization of Zoomable Network for Multi-Compounds and Multi-Targets Analysis | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 45 | - |
dc.citation.publicationname | the ACM 8th International Workshop on Data and Text Mining in Bioinformatics - DTMBIO '14 | - |
dc.identifier.conferencecountry | CC | - |
dc.identifier.conferencelocation | Shanghai, China | - |
dc.identifier.doi | 10.1145/2665970.2665988 | - |
dc.contributor.localauthor | Lee, Doheon | - |
dc.contributor.nonIdAuthor | Park, Jaesub | - |
dc.contributor.nonIdAuthor | Kim, Jaeho | - |
dc.contributor.nonIdAuthor | Park, Junseok | - |
dc.contributor.nonIdAuthor | Bae, Sunghwa | - |
dc.contributor.nonIdAuthor | Kim, Hyungseok | - |
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