Demo Data from VLDB 2026 / reviewers in the wild / expert
Andrea Császár
dblp:254/3605
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-9961-922XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › network bioinformatics › biological network analysis › network visualization
biological network visualization |
0.4 | 1 | 2019 | The EntOptLayout Cytoscape plug-in for the efficient visualization of major protein complexes in protein-protein interaction and signalling networks · Bioinform. 2019 |
Bioinformatics and computational biology › biological network
network biology |
0.4 | 1 | 2019 | The EntOptLayout Cytoscape plug-in for the efficient visualization of major protein complexes in protein-protein interaction and signalling networks · Bioinform. 2019 |
Bioinformatics and computational biology › protein analysis › protein-protein interaction
protein-protein interaction network |
0.1 | 1 | 2019 | The EntOptLayout Cytoscape plug-in for the efficient visualization of major protein complexes in protein-protein interaction and signalling networks · Bioinform. 2019 |
Methods — techniques the papers use, named apart from their topics
network representation theory · 0.4information loss scoring · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | The EntOptLayout Cytoscape plug-in for the efficient visualization of major protein complexes in protein-protein interaction and signalling networksabstractMOTIVATION: Network visualizations of complex biological datasets usually result in 'hairball' images, which do not discriminate network modules. RESULTS: We present the EntOptLayout Cytoscape plug-in based on a recently developed network representation theory. The plug-in provides an efficient visualization of network modules, which represent major protein complexes in protein-protein interaction and signalling networks. Importantly, the tool gives a quality score of the network visualization by calculating the information loss between the input data and the visual representation showing a 3- to 25-fold improvement over conventional methods. AVAILABILITY AND IMPLEMENTATION: The plug-in (running on Windows, Linux, or Mac OS) and its tutorial (both in written and video forms) can be downloaded freely under the terms of the MIT license from: http://apps.cytoscape.org/apps/entoptlayout. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Bence Ágg, Andrea Császár, Máté Szalay-Beko, Dániel V. Veres, Réka Mizsei, Péter Ferdinandy, Peter Csermely, István A. Kovács |
Bioinform. | 2 |