Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2025
|
| Online Access: | https://doi.org/10.5281/zenodo.15224680 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866901285437964288 |
|---|---|
| author | Aminu, Muhammad Zhu, Bo Wu, Jia Zhang, Jianjun |
| author_facet | Aminu, Muhammad Zhu, Bo Wu, Jia Zhang, Jianjun |
| contents | <p>This dataset contains single-cell RNA sequencing (scRNA-seq) and 10x Genomics Visium spatial transcriptomics data analyzed in our manuscript submitted to <em>Nature Cell Biology</em>. The scRNA-seq data includes high-quality transcriptomic profiles of cells isolated from mouse lung tissue across different stages of carcinogenesis. The Visium spatial transcriptomics data captures spatial gene expression patterns from matched tissue sections, enabling integrative spatial and single-cell analysis of the tumor microenvironment.</p> <p>The dataset supports analyses presented in the manuscript, including spatial domain detection, cell-type mapping, spatial niche detection, and integration with scRNA-seq profiles.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15224680 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Datasets for the paper titled "CoCo-ST: Detecting Global and Local Biological Structures in Cross-Sample Spatial Transcriptomics at Spot, Single-Cell, and Subcellular Resolutions" Aminu, Muhammad Zhu, Bo Wu, Jia Zhang, Jianjun <p>This dataset contains single-cell RNA sequencing (scRNA-seq) and 10x Genomics Visium spatial transcriptomics data analyzed in our manuscript submitted to <em>Nature Cell Biology</em>. The scRNA-seq data includes high-quality transcriptomic profiles of cells isolated from mouse lung tissue across different stages of carcinogenesis. The Visium spatial transcriptomics data captures spatial gene expression patterns from matched tissue sections, enabling integrative spatial and single-cell analysis of the tumor microenvironment.</p> <p>The dataset supports analyses presented in the manuscript, including spatial domain detection, cell-type mapping, spatial niche detection, and integration with scRNA-seq profiles.</p> |
| title | Datasets for the paper titled "CoCo-ST: Detecting Global and Local Biological Structures in Cross-Sample Spatial Transcriptomics at Spot, Single-Cell, and Subcellular Resolutions" |
| url | https://doi.org/10.5281/zenodo.15224680 |