Data · dataset · 2026
GRASP: Modeling Transcript Spot Graph Representations to Analyze Subcellular Patterns and Cell Clustering in High-Resolution Spatial Transcriptomics
Listed in Teesside University Research Data Repository
Description
The simulated datasets were generated using the simFISH package, which can be accessed at sim-fish documentation (sim-fish.readthedocs.io/en/stable/). The cell line datasets (seqFISH+ fibroblast cells and MERFISH U2OS cells) that support the conclusions of this article are available in the Figshare repository at figshare.com/collections/Bento_Manuscript_Datasets/6564043/1. For the MERFISH mouse ileum dataset, data were obtained from doi.org/10.5061/dryad.jm63xsjb2.
For the MERSCOPE mouse liver dataset, the data were sourced from the MERFISH Mouse Liver Map, available at info.vizgen.com/mouse-liver-data?submissionGuid=832a9f61-22d3-44c1-a2cf-838c166d9ac5. For the Xenium ST datasets of lung adenocarcinoma tissue, the data were acquired from v1 platforms, and both datasets were downloaded from the 10x Genomics dataset repository (10xgenomics.com/datasets/xenium-human-lung-cancer-post-xenium-technote).
Links
Where it is published
- DOI doi.org/10.17632/wjm9xdsdff.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Structural biology 76%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/wjm9xdsdff.1 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:310112 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (76%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |