Leveraging the Cell Ontology to classify unseen cell types

Single cell technologies are rapidly generating large amounts of data that enables us to understand biological systems at single-cell resolution. However, joint analysis of datasets generated by independent labs remains challenging due to a lack of consistent terminology to describe cell types. Here...

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Detalles Bibliográficos
Autores principales: Wang, Sheng, Pisco, Angela Oliveira, McGeever, Aaron, Brbic, Maria, Zitnik, Marinka, Darmanis, Spyros, Leskovec, Jure, Karkanias, Jim, Altman, Russ B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455606/
https://www.ncbi.nlm.nih.gov/pubmed/34548483
http://dx.doi.org/10.1038/s41467-021-25725-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455606/
https://www.ncbi.nlm.nih.gov/pubmed/34548483
http://dx.doi.org/10.1038/s41467-021-25725-x

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