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A multi-encoder variational autoencoder controls multiple transformational features in single-cell image analysis
Image-based cell phenotyping relies on quantitative measurements as encoded representations of cells; however, defining suitable representations that capture complex imaging features is challenged by the lack of robust methods to segment cells, identify subcellular compartments, and extract relevant...
| 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/PMC8943013/ https://www.ncbi.nlm.nih.gov/pubmed/35322205 http://dx.doi.org/10.1038/s42003-022-03218-x |