Demo Data from EDBT 2026 / reviewers in the wild / expert
Matthew J. Cecchini
dblp:270/3856
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › gene expression analysis
differential expression analysis |
0.9 | 1 | 2025 | 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 |
0.9 | 1 | 2025 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | shinyDSP: a Shiny application for interactive analysis and visualization of NanoString GeoMx Whole Transcriptome Atlas dataabstractSUMMARY: 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. | 2 |