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Disparities in spatially variable gene calling highlight the need for benchmarking spatial transcriptomics methods
Identifying spatially variable genes (SVGs) is a key step in the analysis of spatially resolved transcriptomics data. SVGs provide biological insights by defining transcriptomic differences within tissues, which was previously unachievable using RNA-sequencing technologies. However, the increasing n...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506280/ https://www.ncbi.nlm.nih.gov/pubmed/37723583 http://dx.doi.org/10.1186/s13059-023-03045-1 |