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Integrating single-cell transcriptomic data across different conditions, technologies, and species

Computational single-cell RNA-seq (scRNA-seq) methods have been successfully applied to experiments representing a single condition, technology, or species to discover and define cellular phenotypes. However, identifying subpopulations of cells that are present across multiple datasets remains chall...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:Nat Biotechnol
Hauptverfasser: Butler, Andrew, Hoffman, Paul, Smibert, Peter, Papalexi, Efthymia, Satija, Rahul
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2018
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6700744/
https://ncbi.nlm.nih.gov/pubmed/29608179
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/nbt.4096
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