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A 3D Surface Fitting Layout for Complex Networks Visualization
release_7nbuh4dhavgsrhbv25bkj52444
by
Laura Broască, Versavia-Maria Ancuşa, Horia Ciocârlie
Published
in Studies in Health Technology and Informatics.
2020 Volume 272, p362-365
Abstract
Large datasets visualization, prevalent in Bioinformatics, is a challenging task. Simple 2D layouts sometimes offer to many details to be instantly helpful, while filtering might remove critical information. Extension to 3D seems like the logical answer, however, in order to capture the complex relationships between data, the third dimension should reflect inherent properties. This paper proposes a novel method to generate 3D parameterized layouts, by using a function to correlate the Oz axis and biospecific features.
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Crossref Metadata (via API)
Worldcat
SHERPA/RoMEO (journal policies)
wikidata.org
CORE.ac.uk
Semantic Scholar
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