2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA) 2018
DOI: 10.1109/aiccsa.2018.8612849
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Visual Data Mining by Virtual Reality for Protein-Protein Interaction Networks

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Cited by 2 publications
(1 citation statement)
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“…While some solutions abstract from the spatial representation of molecules and use node‐link diagrams to depict relationships [SAKW02, LKF*17, AGM*18, PMI*21], others only “flatten” the spatial representations and, while technically still being 3D, the representations appear two‐dimensional [SJPG18]. For direct fully‐fledged spatial representations we observed that, especially when using AR technology, multiple approaches depict possible interactions between molecules when a user places the molecules in proximity (e. g., by moving AR markers representing the molecules close to each other) [RFK*21, Abr20, ABT*20].…”
Section: Tasksmentioning
confidence: 99%
“…While some solutions abstract from the spatial representation of molecules and use node‐link diagrams to depict relationships [SAKW02, LKF*17, AGM*18, PMI*21], others only “flatten” the spatial representations and, while technically still being 3D, the representations appear two‐dimensional [SJPG18]. For direct fully‐fledged spatial representations we observed that, especially when using AR technology, multiple approaches depict possible interactions between molecules when a user places the molecules in proximity (e. g., by moving AR markers representing the molecules close to each other) [RFK*21, Abr20, ABT*20].…”
Section: Tasksmentioning
confidence: 99%