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Samuele Angioli

dblp:76/3581 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
gene expression analysis
0.112007
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
0.112007
Eu.Gene Analyzer a tool for integrating gene expression data with pathway databases · Bioinform. 2007
Bioinformatics and computational biology › systems biology
pathway database integration
0.012007
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
YearPublicationVenuePosition
2007 Eu.Gene Analyzer a tool for integrating gene expression data with pathway databases
abstract
Abstract 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