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...

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Detalles Bibliográficos
Autores principales: Stark, Stefan G, Ficek, Joanna, Locatello, Francesco, Bonilla, Ximena, Chevrier, Stéphane, Singer, Franziska, Rätsch, Gunnar, Lehmann, Kjong-Van
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Data
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

Internet

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

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