Anomaly detection for high-content image-based phenotypic cell profiling
High-content image-based phenotypic profiling combines automated microscopy and analysis to identify phenotypic alterations in cell morphology and provide insight into the cell's physiological state. Classical representations of the phenotypic profile can not capture the full underlying complex...
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| Published in: | bioRxiv |
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| Main Authors: | , , , , |
| Format: | Journal Article Paper |
| Language: | English |
| Published: |
United States
Cold Spring Harbor Laboratory
03.06.2024
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| Edition: | 1.1 |
| Subjects: | |
| ISSN: | 2692-8205, 2692-8205 |
| Online Access: | Get full text |
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