Cell morphology-based machine learning models for human cell state classification
Herein, we implement and access machine learning architectures to ascertain models that differentiate healthy from apoptotic cells using exclusively forward (FSC) and side (SSC) scatter flow cytometry information. To generate training data, colorectal cancer HCT116 cells were subjected to miR-34a tr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Research
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |