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SCIM: universal single-cell matching with unpaired feature sets
MOTIVATION: Recent technological advances have led to an increase in the production and availability of single-cell data. The ability to integrate a set of multi-technology measurements would allow the identification of biologically or clinically meaningful observations through the unification of th...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773480/ https://www.ncbi.nlm.nih.gov/pubmed/33381818 http://dx.doi.org/10.1093/bioinformatics/btaa843 |