Demo Data from EDBT 2026 / reviewers in the wild / expert
Samuele Angioli
dblp:76/3581
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
—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 3 heaviest of 3, 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 | 2007 | Eu.Gene Analyzer a tool for integrating gene expression data with pathway databases · Bioinform. 2007 |
Bioinformatics and computational biology › functional genomics › functional enrichment analysis
gene set enrichment analysis |
0.1 | 1 | 2007 | Eu.Gene Analyzer a tool for integrating gene expression data with pathway databases · Bioinform. 2007 |
Bioinformatics and computational biology › systems biology
pathway database integration |
0.0 | 1 | 2007 | Eu.Gene Analyzer a tool for integrating gene expression data with pathway databases · Bioinform. 2007 |
Methods — techniques the papers use, named apart from their topics
gene set enrichment analysis · 0.1fisher exact test · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Eu.Gene Analyzer a tool for integrating gene expression data with pathway databasesabstractAbstract Motivation: Eu.Gene Analyzer is an easy-to-use, stand-alone application that allows rapid and powerful microarray data analysis in the context of biological pathways. Its intuitive graphical user interface makes it an easy and flexible tool, even for the first-time user. Eu.Gene supports a variety of array platforms, organisms and pathway ontologies, transparently deals with multiple nomenclature systems and seamlessly integrates data from different sources. Two different statistical methods, the Fisher Exact Test and the Gene Set Enrichment Analysis (GSEA), are implemented to identify biological pathways transcriptionally affected under experimental conditions. A suite of tools is offered to define, visualize and share custom non-redundant pathway sets. In conclusion, Eu.Gene Analyzer is a new software application that takes advantage of information from multiple pathway databases to build a comprehensive interpretation of experimental results in a simple, intuitive environment. Availability: Download of Eu.Gene Analyzer Java version is available free of charge for academic users. Please visit the web page: http://www.ducciocavalieri.org/bio/Eugene.htm Contact: [email protected] Supplementary information: http://www.ducciocavalieri.org/bio/Eugene/Suppl_Inf Duccio Cavalieri, Cinzia Castagnini, Simona Toti, Karolina Maciag, Thomas Kelder, Luca Gambineri, Samuele Angioli, Piero Dolara |
Bioinform. | 7 |