Demo Data from VLDB 2026 / reviewers in the wild / expert
Christopher Dubay
dblp:74/2473
· DBLP profile ↗
4ranked-venue papers
1as first author
0since 2021 · last 2008
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 4 · 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
2 papers |
Bioinformatics and computational biology · 67% Medical and health informatics · 33% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Medical and health informatics › biomedical data science
biomedical database querying |
0.0 | 1 | 2003 | BioQuery: An Object Framework for Building Queries to Biomedical Databases · Bioinform. 2003 |
Methods — techniques the papers use, named apart from their topics
web portal · 0.1plugin architecture · 0.0object framework · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | MonkeySNP: a web portal for non-human primate single nucleotide polymorphismsabstractUNLABELLED: MonkeySNP is a web-based resource created by the Genetic Resource and Informatics Program at the Oregon National Primate Research Center to facilitate access to non-human primate (NHP) single nucleotide polymorphisms (SNP) data. MonkeySNP is a mirror of the NCBI dbSNP database and contains additional NHP subpopulation genotype data and visual genotype displays to support SNP review and selection. AVAILABILITY: http://monkeysnp.ohsu.edu/snp/ SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Samone Khouangsathiene, Carlo Pearson, Summer Street, Betsy Ferguson, Christopher Dubay |
Bioinform. | 5 |
| 2005 | Using co-occurrence network structure to extract synonymous gene and protein names from MEDLINE abstractsabstractBACKGROUND: Text-mining can assist biomedical researchers in reducing information overload by extracting useful knowledge from large collections of text. We developed a novel text-mining method based on analyzing the network structure created by symbol co-occurrences as a way to extend the capabilities of knowledge extraction. The method was applied to the task of automatic gene and protein name synonym extraction. RESULTS: Performance was measured on a test set consisting of about 50,000 abstracts from one year of MEDLINE. Synonyms retrieved from curated genomics databases were used as a gold standard. The system obtained a maximum F-score of 22.21% (23.18% precision and 21.36% recall), with high efficiency in the use of seed pairs. CONCLUSION: The method performs comparably with other studied methods, does not rely on sophisticated named-entity recognition, and requires little initial seed knowledge. Aaron M. Cohen, William R. Hersh, Christopher Dubay, Kent A. Spackman |
BMC Bioinform. | 3 |
| 2003 | BioQuery: An Object Framework for Building Queries to Biomedical DatabasesabstractSUMMARY: BioQuery is an application that helps scientists automate database searches. Users can build and store queries to public biomedical databases, and receive periodic updates on the results of those queries when new data is available. The application is implemented on a portable object framework that can provide database-searching capability to other applications. This framework is easily extensible, allowing users to develop plug-ins that provide access to new databases. BioQuery thus provides end-users with a complete database searching interface and updating service, and gives developers a toolkit to provide database-searching capability to their applications. AVAILABILITY: Free to all users: http://www.bioquery.org. James M. Brundege, Christopher Dubay |
Bioinform. | 2 |
| 2002 | Delivering bioinformatics training: bridging the gaps between computer science and biomedicine
Christopher Dubay, James M. Brundege, William R. Hersh, Kent A. Spackman |
AMIA | 1 |