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An analytical framework for interpretable and generalizable single-cell data analysis
Scaling single-cell data exploratory analysis with the rapidly growing diversity and quantity of single-cell omics datasets demands more interpretable and robust data representation that is generalizable across datasets. Here we developed a ‘linearly interpretable’ framework that combines the interp...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959118/ https://www.ncbi.nlm.nih.gov/pubmed/34725480 http://dx.doi.org/10.1038/s41592-021-01286-1 |