Demo Data from EDBT 2026 / reviewers in the wild / expert
Kevin Titeca
dblp:209/7384
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2017
0000-0002-7677-8252ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 · 50% Computational science and engineering · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational science and engineering
false positive filtering |
0.3 | 1 | 2017 | sfinx: an R package for the elimination of false positives from affinity purification-mass spectrometry datasets · Bioinform. 2017 |
Bioinformatics and computational biology
proteomics |
0.3 | 1 | 2017 | sfinx: an R package for the elimination of false positives from affinity purification-mass spectrometry datasets · Bioinform. 2017 |
Methods — techniques the papers use, named apart from their topics
straightforward filtering index · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | sfinx: an R package for the elimination of false positives from affinity purification-mass spectrometry datasetsabstractSUMMARY: We describe sfinx, an R package providing access to the straightforward filtering index (SFINX) for the separation of true positive from false positive protein interactions in affinity purification - mass spectrometry datasets. This package maintains the reliability and user-friendliness of the SFINX web site interface but is faster, unlimited in input size, and can be run locally within R. AVAILABILITY AND IMPLEMENTATION: The sfinx R package is available for download at the comprehensive R archive network (CRAN) https://cran.r-project.org/web/packages/sfinx/ under the Apache License 2.0. CONTACT: [email protected] or [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Kevin Titeca, Pieter Meysman, Kris Laukens, Lennart Martens, Jan Tavernier, Sven Eyckerman |
Bioinform. | 1 |