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Marco Mura

dblp:236/9800 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

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 › gene expression analysis
differential expression analysis
0.912025
shinyDSP: a Shiny application for interactive analysis and visualization of NanoString GeoMx Whole Transcriptome Atlas data · Bioinform. 2025
Bioinformatics and computational biology › transcriptomics
spatial transcriptomics
0.912025
shinyDSP: a Shiny application for interactive analysis and visualization of NanoString GeoMx Whole Transcriptome Atlas data · Bioinform. 2025

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

quality control · 0.9normalization · 0.9
YearPublicationVenuePosition
2025 shinyDSP: a Shiny application for interactive analysis and visualization of NanoString GeoMx Whole Transcriptome Atlas data
abstract
SUMMARY: NanoString's GeoMx Digital Spatial Profiling platform enables researchers to elucidate spatial transcriptomic profiles of distinct cellular microenvironments in human and mouse formalin fixed paraffin embedded tissue. To date, there is no free, open source, interactive application to facilitate data analysis with the latest tested methods. We created shinyDSP, a R shiny application that guides users to perform quality control, normalization, and differential gene expression analysis of GeoMx DSP data. It includes various user-provided customization options to meet individual aesthetic choices and requirements. AVAILABILITY AND IMPLEMENTATION: The release and development versions of shinyDSP are available on Bioconductor under the MIT license (https://www.bioconductor.org/packages/release/bioc/html/shinyDSP.html) and Github (https://github.com/kimsjune/shinyDSP).
Seung J. Kim, Matthew J. Cecchini, Marco Mura
Bioinform.3