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An Open-Source Framework for Automated High-Throughput Cell Biology Experiments
Modern data analysis methods, such as optimization algorithms or deep learning have been successfully applied to a number of biotechnological and medical questions. For these methods to be efficient, a large number of high-quality and reproducible experiments needs to be conducted, requiring a high...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8498207/ https://www.ncbi.nlm.nih.gov/pubmed/34631697 http://dx.doi.org/10.3389/fcell.2021.697584 |