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Nadezhda T. Doncheva

dblp:130/1082 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics › computational genomics
disease gene prioritization
0.212013
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
0.212013
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
0.012013
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
YearPublicationVenuePosition
2013 NetworkPrioritizer: a versatile tool for network-based prioritization of candidate disease genes or other molecules
abstract
SUMMARY: 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