Demo Data from EDBT 2026 / reviewers in the wild / expert
Shuyun Ye
dblp:116/9505
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—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 › gene expression analysis › gene co-expression analysis
differential co-expression analysis |
0.1 | 1 | 2012 | R/EBcoexpress: an empirical Bayesian framework for discovering differential co-expression · Bioinform. 2012 |
Bioinformatics and computational biology › gene expression analysis
gene co-expression analysis |
0.1 | 1 | 2012 | R/EBcoexpress: an empirical Bayesian framework for discovering differential co-expression · Bioinform. 2012 |
Methods — techniques the papers use, named apart from their topics
false discovery rate · 0.1empirical bayesian · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | R/EBcoexpress: an empirical Bayesian framework for discovering differential co-expressionabstractUNLABELLED: R/EBcoexpress implements the approach of Dawson and Kendziorski using R, a freely available, open source statistical programming language. The approach identifies differential co-expression (DC) by examining the correlations among gene pairs using an empirical Bayesian approach, producing a false discovery rate controlled list of DC pairs. This interrogation of DC gene pairs complements but is distinct from differential expression analyses, under the general goal of understanding differential regulation across biological conditions. AVAILABILITY AND IMPLEMENTATION: R/EBcoexpress is freely available and hosted on Bioconductor; a source file and vignette may be found at http://www.bioconductor.org/packages/release/bioc/html/EBcoexpress.html John A. Dawson, Shuyun Ye, Christina Kendziorski |
Bioinform. | 2 |