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An open-source solution for advanced imaging flow cytometry data analysis using machine learning
Imaging flow cytometry (IFC) enables the high throughput collection of morphological and spatial information from hundreds of thousands of single cells. This high content, information rich image data can in theory resolve important biological differences among complex, often heterogeneous biological...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Academic Press
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5231320/ https://www.ncbi.nlm.nih.gov/pubmed/27594698 http://dx.doi.org/10.1016/j.ymeth.2016.08.018 |