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Efficient prediction of a spatial transcriptomics profile better characterizes breast cancer tissue sections without costly experimentation
Spatial transcriptomics is an emerging technology requiring costly reagents and considerable skills, limiting the identification of transcriptional markers related to histology. Here, we show that predicted spatial gene-expression in unmeasured regions and tissues can enhance biologists’ histologica...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904587/ https://www.ncbi.nlm.nih.gov/pubmed/35260632 http://dx.doi.org/10.1038/s41598-022-07685-4 |