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Biophysical informatics reveals distinctive phenotypic signatures and functional diversity of single-cell lineages
MOTIVATION: In this work, we present an analytical method for quantifying both single-cell morphologies and cell network topologies of tumor cell populations and use it to predict 3D cell behavior. RESULTS: We utilized a supervised deep learning approach to perform instance segmentation on label-fre...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825265/ https://www.ncbi.nlm.nih.gov/pubmed/36610710 http://dx.doi.org/10.1093/bioinformatics/btac833 |