ScLinear predicts protein abundance at single-cell resolution
Abstract Single-cell multi-omics have transformed biomedical research and present exciting machine learning opportunities. We present scLinear, a linear regression-based approach that predicts single-cell protein abundance based on RNA expression. ScLinear is vastly more efficient than state-of-the-...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Portfolio
2024-03-01
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| Schriftenreihe: | Communications Biology |
| Online-Zugang: | https://doi.org/10.1038/s42003-024-05958-4 |
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