Demo Data from EDBT 2026 / reviewers in the wild / expert
Jared Allen
dblp:60/7455
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none
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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › biological network › network biology
gene interaction analysis |
0.1 | 1 | 2010 | PathGen: a transitive gene pathway generator · Bioinform. 2010 |
Bioinformatics and computational biology › genomics
disease genomics |
0.0 | 1 | 2010 | PathGen: a transitive gene pathway generator · Bioinform. 2010 |
Methods — techniques the papers use, named apart from their topics
graph visualization · 0.1data integration · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | PathGen: a transitive gene pathway generatorabstractSUMMARY: Many online sources of gene interaction networks supply rich visual data regarding gene pathways that can aid in the study of biological processes, disease research and drug discovery. PathGen incorporates data from several sources to create transitive connections that span multiple gene interaction databases. Results are displayed in a comprehensible graphical format, showing gene interaction type and strength, database source and microarray expression data. These features make PathGen a valuable tool for in silico discovery of novel gene interaction pathways, which can be experimentally tested and verified. The usefulness of PathGen interaction analyses was validated using genes connected to the altered facial development related to Down syndrome. AVAILABILITY: http://dna.cs.byu.edu/pathgen. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Further information is available at http://dna.cs.byu.edu/pathgen/PathGenSupplemental.pdf. Kendell Clement, Nathaniel Gustafson, Amanda Berbert, Hyrum Carroll, Christopher Merris, Ammon Olsen, Mark J. Clement, Quinn Snell, Jared Allen, Randall J. Roper |
Bioinform. | 9 |