Demo Data from VLDB 2026 / reviewers in the wild / expert
Shannon P. Hilchey
dblp:311/2961
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
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 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › systems bioinformatics
pathway analysis |
0.6 | 1 | 2022 | WikiNetworks: translating manually created biological pathways for topological analysis · Bioinform. 2022 |
Bioinformatics and computational biology › systems bioinformatics
pathway model curation |
0.2 | 1 | 2022 | WikiNetworks: translating manually created biological pathways for topological analysis · Bioinform. 2022 |
Methods — techniques the papers use, named apart from their topics
network construction · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | WikiNetworks: translating manually created biological pathways for topological analysisabstractSUMMARY: WikiPathways is a database of 2979 biological pathways across 31 species created using the drawing software PathVisio. Many of these pathways are not directly usable for network-based topological analyses due to differences in curation styles and drawings. We developed the WikiNetworks package to standardize and construct directed networks by combining geometric information and manual annotations from WikiPathways. WikiNetworks performs significantly better than existing tools. This enables the use of high-quality WikiPathways resource for network-based topological analysis of high-throughput data. AVAILABILITY AND IMPLEMENTATION: WikiNetworks is written in Python3 and is available on github.com/Thakar-Lab/wikinetworks and on PyPI. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Mukta G. Palshikar, Shannon P. Hilchey, Martin S. Zand, Juilee Thakar |
Bioinform. | 2 |