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| Formato: | Recurso digital |
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2025
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| Acceso en línea: | https://doi.org/10.5281/zenodo.16918989 |
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| _version_ | 1866901411654008832 |
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| author | fuweilumc |
| author_facet | fuweilumc |
| contents | <p>This release includes all scripts and documentation for analyzing spatial transcriptomics (Xenium) and proteomics (IMC) data from adult human ovary tissue. The code performs data preprocessing, clustering, visualization, differential gene/protein analysis, and spatial niche identification.</p> <p>Compatible with:</p> <p>Python 3.10 (Scanpy, CellCharter, Squidpy, matplotlib) R 4.3 (cytomapper, ComplexHeatmap, imcRtools) For full pipeline description, see README.md.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16918989 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | chuvalab/Xenium_IMC_OVA: spatial omics analysis pipeline fuweilumc <p>This release includes all scripts and documentation for analyzing spatial transcriptomics (Xenium) and proteomics (IMC) data from adult human ovary tissue. The code performs data preprocessing, clustering, visualization, differential gene/protein analysis, and spatial niche identification.</p> <p>Compatible with:</p> <p>Python 3.10 (Scanpy, CellCharter, Squidpy, matplotlib) R 4.3 (cytomapper, ComplexHeatmap, imcRtools) For full pipeline description, see README.md.</p> |
| title | chuvalab/Xenium_IMC_OVA: spatial omics analysis pipeline |
| url | https://doi.org/10.5281/zenodo.16918989 |