Demo Data from EDBT 2026 / reviewers in the wild / expert
Manjunath Kustagi
dblp:162/0596
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
0000-0002-8218-1778ORCID · 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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › biological network › network biology › network inference
gene regulatory network inference |
0.2 | 1 | 2015 | The Cyni framework for network inference in Cytoscape · Bioinform. 2015 |
Bioinformatics and computational biology › biological network › network biology
network inference |
0.2 | 1 | 2015 | The Cyni framework for network inference in Cytoscape · Bioinform. 2015 |
Bioinformatics and computational biology
systems biology |
0.2 | 1 | 2015 | The Cyni framework for network inference in Cytoscape · Bioinform. 2015 |
Bioinformatics and computational biology
software infrastructure |
0.1 | 1 | 2015 | The Cyni framework for network inference in Cytoscape · Bioinform. 2015 |
Methods — techniques the papers use, named apart from their topics
ARACNE · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | The Cyni framework for network inference in CytoscapeabstractMOTIVATION: Research on methods for the inference of networks from biological data is making significant advances, but the adoption of network inference in biomedical research practice is lagging behind. Here, we present Cyni, an open-source 'fill-in-the-algorithm' framework that provides common network inference functionality and user interface elements. Cyni allows the rapid transformation of Java-based network inference prototypes into apps of the popular open-source Cytoscape network analysis and visualization ecosystem. Merely placing the resulting app in the Cytoscape App Store makes the method accessible to a worldwide community of biomedical researchers by mouse click. In a case study, we illustrate the transformation of an ARACNE implementation into a Cytoscape app. AVAILABILITY AND IMPLEMENTATION: Cyni, its apps, user guides, documentation and sample code are available from the Cytoscape App Store http://apps.cytoscape.org/apps/cynitoolbox CONTACT: [email protected]. Oriol Guitart, Manjunath Kustagi, Frank Rügheimer, Andrea Califano, Benno Schwikowski |
Bioinform. | 2 |