Annotation-free learning of a spatio-temporal manifold of the cell life cycle
The cell cycle is a complex biological phenomenon, which plays an important role in many cell biological processes and disease states. Machine learning is emerging to be a pivotal technique for the study of the cell cycle, resulting in a number of available tools and models for the analysis of the c...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2023-01-01
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| Series: | Biological Imaging |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2633903X23000193/type/journal_article |