Demo Data from EDBT 2026 / reviewers in the wild / expert
Yetrib Hathout
dblp:63/5589
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · unresolved
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 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › knowledge representation in biology › biomedical ontology
gene ontology |
0.1 | 1 | 2008 | GOTreePlus: an interactive gene ontology browser · Bioinform. 2008 |
Bioinformatics and computational biology › knowledge representation in biology › biomedical ontology
gene ontology visualization |
0.1 | 1 | 2008 | GOTreePlus: an interactive gene ontology browser · Bioinform. 2008 |
Bioinformatics and computational biology
proteomics |
0.0 | 1 | 2008 | GOTreePlus: an interactive gene ontology browser · Bioinform. 2008 |
Methods — techniques the papers use, named apart from their topics
interactive visualization · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | GOTreePlus: an interactive gene ontology browserabstractUNLABELLED: We developed an interactive gene ontology (GO) browser named GOTreePlus that superimposes annotation information over GO structures. It can facilitate the identification of important GO terms through interactive visualization of them in the GO structure. The interactive pie chart summarizing an annotation distribution for a selected GO term provides users with a succinct context-sensitive overview of their experimental results. We tested our GOTreePlus using a proteome profiling dataset obtained on differentiation of retinal pigment epithelial cells where 399 proteins were quantified. AVAILABILITY: http://bioinformatics.cnmcresearch.org/GOTreePlus/. Bongshin Lee, Kristy Brown, Yetrib Hathout, Jinwook Seo |
Bioinform. | 3 |