Cell morphology-based machine learning models for human cell state classification
Abstract 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 m...
Enregistré dans:
| Auteurs principaux: | , , , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/f1e3a60d60654b6bbac2e007e799a270 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|