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Computational challenges and opportunities in spatially resolved transcriptomic data analysis
Spatially resolved transcriptomic data demand new computational analysis methods to derive biological insights. Here, we comment on these associated computational challenges as well as highlight the opportunities for standardized benchmarking metrics and data-sharing infrastructure in spurring innov...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8421472/ https://www.ncbi.nlm.nih.gov/pubmed/34489425 http://dx.doi.org/10.1038/s41467-021-25557-9 |