Demo Data from EDBT 2026 / reviewers in the wild / expert
Yeunjoo E. Song
dblp:224/2688
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0002-7452-3731ORCID · 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 · 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 › statistical genetics › genetic association study
family-based association test |
0.3 | 1 | 2018 | ONETOOL for the analysis of family-based big data · Bioinform. 2018 |
Bioinformatics and computational biology › statistical genetics
genetic association study |
0.3 | 1 | 2018 | ONETOOL for the analysis of family-based big data · Bioinform. 2018 |
Bioinformatics and computational biology › sequence analysis
sequencing data analysis |
0.1 | 1 | 2018 | ONETOOL for the analysis of family-based big data · Bioinform. 2018 |
Methods — techniques the papers use, named apart from their topics
family-based association methods · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | ONETOOL for the analysis of family-based big dataabstractMotivation: Despite the need for separate tools to analyze family-based data, there are only a handful of tools optimized for family-based big data compared to the number of tools available for analyzing population-based data. Results: ONETOOL implements the properties of well-known existing family data analysis tools and recently developed methods in a computationally efficient manner, and so is suitable for analyzing the vast amount of variant data available from sequencing family members, providing a rich choice of analysis methods for big data on families. Availability and implementation: ONETOOL is freely available from http://healthstat.snu.ac.kr/software/onetool/. Supplementary information: Supplementary data are available at Bioinformatics online. Yeunjoo E. Song, Sungyoung Lee 0002, Kyungtaek Park, Robert C. Elston, Hyeon-Jong Yang, Sungho Won |
Bioinform. | 1 |