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Discover immunotherapy biomarkers from single-cell cytometry data
Currently, identifying novel biomarkers remains a crucial need for cancer immunotherapy. By leveraging single-cell cytometry data, Greene et al. developed an interpretable machine learning method, FAUST, to discover cell populations associated with clinical outcomes.
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672134/ https://www.ncbi.nlm.nih.gov/pubmed/34950905 http://dx.doi.org/10.1016/j.patter.2021.100384 |