Discover immunotherapy biomarkers from single-cell cytometry data.
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- Record sourced from PubMed, PMID 34950905.
- Also identified by DOI 10.1016/j.patter.2021.100384 and PMC identifier 8672134.
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Abstract
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.