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Predicting gene expression using morphological cell responses to nanotopography
Cells respond in complex ways to their environment, making it challenging to predict a direct relationship between the two. A key problem is the lack of informative representations of parameters that translate directly into biological function. Here we present a platform to relate the effects of cel...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070086/ https://www.ncbi.nlm.nih.gov/pubmed/32170111 http://dx.doi.org/10.1038/s41467-020-15114-1 |