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Stefano Berto

dblp:426/4651 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0001-9028-9458ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › functional genomics
functional enrichment analysis
0.812024
scToppR: a coding-friendly R interface to ToppGene · Bioinform. 2024
Bioinformatics and computational biology
functional genomics
0.812024
scToppR: a coding-friendly R interface to ToppGene · Bioinform. 2024

Methods — techniques the papers use, named apart from their topics

toppgene · 0.8r interface · 0.8
YearPublicationVenuePosition
2024 scToppR: a coding-friendly R interface to ToppGene
abstract
MOTIVATION: The scToppR package provides a ToppGene interface from R programs/scripts to fully access/control the database for functional enrichment without the need for active interaction on its Web site (https://toppgene.cchmc.org/). RESULTS: The library facilitates the functional enrichment analysis and visualization by interacting with ToppGene, downloading the functional enrichment dataframes, and using R environment to visualize the final results. AVAILABILITY AND IMPLEMENTATION: Code and documentation are currently available at https://github.com/BioinformaticsMUSC/scToppR.
Bryan Granger, Stefano Berto
Bioinform.2