Benchmarking spatial domain identification in colorectal cancer Visium data: trade-offs, boundary uncertainty, and compute considerations
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| Natura: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866902172243853312 |
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| author | Zheng, Hongwei Chen, Wenbiao |
| author_facet | Zheng, Hongwei Chen, Wenbiao |
| contents | Reproducible benchmark of spatial domain identification methods in colorectal cancer (CRC) Visium spatial transcriptomics data, comparing BayesSpace with contemporary graph and spatial baselines and reporting complementary evaluation axes (coherence, marker separation, multiseed stability, and practical compute). |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20416396 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Benchmarking spatial domain identification in colorectal cancer Visium data: trade-offs, boundary uncertainty, and compute considerations Zheng, Hongwei Chen, Wenbiao spatial transcriptomics colorectal cancer Visium spatial domain identification BayesSpace benchmark Reproducible benchmark of spatial domain identification methods in colorectal cancer (CRC) Visium spatial transcriptomics data, comparing BayesSpace with contemporary graph and spatial baselines and reporting complementary evaluation axes (coherence, marker separation, multiseed stability, and practical compute). |
| title | Benchmarking spatial domain identification in colorectal cancer Visium data: trade-offs, boundary uncertainty, and compute considerations |
| topic | spatial transcriptomics colorectal cancer Visium spatial domain identification BayesSpace benchmark |
| url | https://doi.org/10.5281/zenodo.20416396 |