EDBT 2026 Demo / reviewers in the wild / expert
Mircea A. Voineagu
dblp:279/9937
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
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% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 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 |
0.4 | 1 | 2020 | TDAview: an online visualization tool for topological data analysis · Bioinform. 2020 |
Bioinformatics and computational biology
topological data analysis |
0.4 | 1 | 2020 | TDAview: an online visualization tool for topological data analysis · Bioinform. 2020 |
Visualization and visual analytics
biological data visualization |
0.1 | 1 | 2020 | TDAview: an online visualization tool for topological data analysis · Bioinform. 2020 |
Methods — techniques the papers use, named apart from their topics
mapper algorithm · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | TDAview: an online visualization tool for topological data analysisabstractSUMMARY: TDAview is an online tool for topological data analysis (TDA) and visualization. It implements the Mapper algorithm for TDA and provides extensive graph visualization options. TDAview is a user-friendly tool that allows biologists and clinicians without programming knowledge to harness the power of TDA. TDAview supports an analysis and visualization mode in which a Mapper graph is constructed based on user-specified parameters, followed by graph visualization. It can also be used in a visualization only mode in which TDAview is used for visualizing the data properties of a Mapper graph generated using other open-source software. The graph visualization options allow data exploration by graphical display of metadata variable values for nodes and edges, as well as the generation of publishable figures. TDAview can handle large datasets, with tens of thousands of data points, and thus has a wide range of applications for high-dimensional data, including the construction of topology-based gene co-expression networks. AVAILABILITY AND IMPLEMENTATION: TDAview is a free online tool available at https://voineagulab.github.io/TDAview/. The source code, usage documentation and example data are available at TDAview GitHub repository: https://github.com/Voineagulab/TDAview. Kieran Walsh, Mircea A. Voineagu, Fatemeh Vafaee, Irina Voineagu |
Bioinform. | 2 |