Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from EDBT 2026 / reviewers in the wild / expert

Karel Heymans

dblp:38/5500 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2005
—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%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › network bioinformatics
biological network analysis		 0.112005
BiNGO: a Cytoscape plugin to assess overrepresentation of Gene Ontology categories in Biological Networks · Bioinform. 2005
Bioinformatics and computational biology › functional genomics › functional enrichment analysis
gene ontology analysis		 0.112005
BiNGO: a Cytoscape plugin to assess overrepresentation of Gene Ontology categories in Biological Networks · Bioinform. 2005
Bioinformatics and computational biology › functional genomics › functional enrichment analysis
over-representation analysis		 0.112005
BiNGO: a Cytoscape plugin to assess overrepresentation of Gene Ontology categories in Biological Networks · Bioinform. 2005

Methods — techniques the papers use, named apart from their topics

hypergeometric test · 0.1
YearPublicationVenuePosition
2005 BiNGO: a Cytoscape plugin to assess overrepresentation of Gene Ontology categories in Biological Networks
abstract
The Biological Networks Gene Ontology tool (BiNGO) is an open-source Java tool to determine which Gene Ontology (GO) terms are significantly overrepresented in a set of genes. BiNGO can be used either on a list of genes, pasted as text, or interactively on subgraphs of biological networks visualized in Cytoscape. BiNGO maps the predominant functional themes of the tested gene set on the GO hierarchy, and takes advantage of Cytoscape's versatile visualization environment to produce an intuitive and customizable visual representation of the results.
Steven Maere, Karel Heymans, Martin Kuiper
 Bioinform.2