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Discovery of molecular features underlying the morphological landscape by integrating spatial transcriptomic data with deep features of tissue images
Profiling molecular features associated with the morphological landscape of tissue is crucial for investigating the structural and spatial patterns that underlie the biological function of tissues. In this study, we present a new method, spatial gene expression patterns by deep learning of tissue im...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8191797/ https://www.ncbi.nlm.nih.gov/pubmed/33619564 http://dx.doi.org/10.1093/nar/gkab095 |