Demo Data from EDBT 2026 / reviewers in the wild / expert
Rosemary He
dblp:263/2623
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › statistical genetics › fine-mapping
causal variant identification |
0.4 | 1 | 2020 | Identifying Causal Variants by Fine Mapping Across Multiple Studies · RECOMB 2020 |
Bioinformatics and computational biology › statistical genetics
fine-mapping |
0.4 | 1 | 2020 | Identifying Causal Variants by Fine Mapping Across Multiple Studies · RECOMB 2020 |
Bioinformatics and computational biology
genomics |
0.4 | 1 | 2020 | Identifying Causal Variants by Fine Mapping Across Multiple Studies · RECOMB 2020 |
Bioinformatics and computational biology › genomics
genome-wide association study |
0.1 | 1 | 2020 | Identifying Causal Variants by Fine Mapping Across Multiple Studies · RECOMB 2020 |
Methods — techniques the papers use, named apart from their topics
meta-analysis · 0.4bayesian fine mapping · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Identifying Causal Variants by Fine Mapping Across Multiple Studies
Nathan Lapierre, Kodi Taraszka, Helen Huang, Rosemary He, Farhad Hormozdiari, Eleazar Eskin |
RECOMB | 4 |