Evaluating spatially variable gene detection methods for spatial transcriptomics data
Abstract Background The identification of genes that vary across spatial domains in tissues and cells is an essential step for spatial transcriptomics data analysis. Given the critical role it serves for downstream data interpretations, various methods for detecting spatially variable genes (SVGs) h...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-01-01
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| Series: | Genome Biology |
| Online Access: | https://doi.org/10.1186/s13059-023-03145-y |