Demo Data from EDBT 2026 / reviewers in the wild / expert
Nadezhda T. Doncheva
dblp:130/1082
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
0000-0002-8806-6850ORCID · verified
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 › genomics › computational genomics
disease gene prioritization |
0.2 | 1 | 2013 | NetworkPrioritizer: a versatile tool for network-based prioritization of candidate disease genes or other molecules · Bioinform. 2013 |
Bioinformatics and computational biology › genomics › computational genomics › disease gene prioritization
network-based prioritization |
0.2 | 1 | 2013 | NetworkPrioritizer: a versatile tool for network-based prioritization of candidate disease genes or other molecules · Bioinform. 2013 |
Bioinformatics and computational biology › network bioinformatics
biological network analysis |
0.0 | 1 | 2013 | NetworkPrioritizer: a versatile tool for network-based prioritization of candidate disease genes or other molecules · Bioinform. 2013 |
Methods — techniques the papers use, named apart from their topics
rank aggregation · 0.2centrality measures · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | NetworkPrioritizer: a versatile tool for network-based prioritization of candidate disease genes or other moleculesabstractSUMMARY: The prioritization of candidate disease genes is often based on integrated datasets and their network representation with genes as nodes connected by edges for biological relationships. However, the majority of prioritization methods does not allow for a straightforward integration of the user's own input data. Therefore, we developed the Cytoscape plugin NetworkPrioritizer that particularly supports the integrative network-based prioritization of candidate disease genes or other molecules. Our versatile software tool computes a number of important centrality measures to rank nodes based on their relevance for network connectivity and provides different methods to aggregate and compare rankings. AVAILABILITY: NetworkPrioritizer and the online documentation are freely available at http://www.networkprioritizer.de Tim Kacprowski, Nadezhda T. Doncheva, Mario Albrecht |
Bioinform. | 2 |