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...

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Detalles Bibliográficos
Autores principales: Li, Yi, Nowak, Chance M., Pham, Uyen, Nguyen, Khai, Bleris, Leonidas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155075/
https://www.ncbi.nlm.nih.gov/pubmed/34039992
http://dx.doi.org/10.1038/s41540-021-00180-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155075/
https://www.ncbi.nlm.nih.gov/pubmed/34039992
http://dx.doi.org/10.1038/s41540-021-00180-y

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