Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Fabio Della Rocca

dblp:340/3307 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0002-8003-2648ORCID · 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 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › computational microbiology › microbiome analysis
differential abundance testing
0.612022
ADViSELipidomics: a workflow for analyzing lipidomics data · Bioinform. 2022
Bioinformatics and computational biology › metabolomics
lipidomics
0.612022
ADViSELipidomics: a workflow for analyzing lipidomics data · Bioinform. 2022
Bioinformatics and computational biology
metabolomics
0.612022
ADViSELipidomics: a workflow for analyzing lipidomics data · Bioinform. 2022

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

statistical analysis · 0.6data normalization · 0.6batch effect correction · 0.6
YearPublicationVenuePosition
2022 ADViSELipidomics: a workflow for analyzing lipidomics data
abstract
SUMMARY: ADViSELipidomics is a novel Shiny app for preprocessing, analyzing and visualizing lipidomics data. It handles the outputs from LipidSearch and LIQUID for lipid identification and quantification and the data from the Metabolomics Workbench. ADViSELipidomics extracts information by parsing lipid species (using LIPID MAPS classification) and, together with information available on the samples, performs several exploratory and statistical analyses. When the experiment includes internal lipid standards, ADViSELipidomics can normalize the data matrix, providing normalized concentration values per lipids and samples. Moreover, it identifies differentially abundant lipids in simple and complex experimental designs, dealing with batch effect correction. Finally, ADViSELipidomics has a user-friendly graphical user interface and supports an extensive series of interactive graphics. AVAILABILITY AND IMPLEMENTATION: ADViSELipidomics is freely available at https://github.com/ShinyFabio/ADViSELipidomics. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Eugenio Del Prete, Ana Margarida Campos, Fabio Della Rocca, Carmela Gallo, Angelo Fontana, Genoveffa Nuzzo, Claudia Angelini
Bioinform.3