Demo Data from EDBT 2026 / reviewers in the wild / expert
Gabriel Nicholas
dblp:27/7393
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
—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 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 |
0.1 | 1 | 2009 | metahdep: meta-analysis of hierarchically dependent gene expression studies · Bioinform. 2009 |
Bioinformatics and computational biology › gene expression analysis
gene expression meta-analysis |
0.1 | 1 | 2009 | metahdep: meta-analysis of hierarchically dependent gene expression studies · Bioinform. 2009 |
Methods — techniques the papers use, named apart from their topics
statistical meta-analysis · 0.1hierarchical dependence modeling · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | metahdep: meta-analysis of hierarchically dependent gene expression studiesabstractUNLABELLED: The metahdep package contains tools for combining the results of multiple gene expression studies. Unlike previous microarray meta-analysis packages, metahdep accounts for both sampling and hierarchical dependence among studies, as well as fundamental covariate differences between studies. AVAILABILITY: http://bioconductor.org/packages/release/Software.html John R. Stevens, Gabriel Nicholas |
Bioinform. | 2 |