Pollock: fishing for cell states

MOTIVATION: The use of single-cell methods is expanding at an ever-increasing rate. While there are established algorithms that address cell classification, they are limited in terms of cross platform compatibility, reliance on the availability of a reference dataset and classification interpretabil...

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Detalles Bibliográficos
Autores principales: Storrs, Erik P, Zhou, Daniel Cui, Wendl, Michael C, Wyczalkowski, Matthew A, Karpova, Alla, Wang, Liang-Bo, Li, Yize, Southard-Smith, Austin, Jayasinghe, Reyka G, Yao, Lijun, Liu, Ruiyang, Wu, Yige, Terekhanova, Nadezhda V, Zhu, Houxiang, Herndon, John M, Puram, Sid, Chen, Feng, Gillanders, William E, Fields, Ryan C, Ding, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115775/
https://www.ncbi.nlm.nih.gov/pubmed/35603231
http://dx.doi.org/10.1093/bioadv/vbac028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115775/
https://www.ncbi.nlm.nih.gov/pubmed/35603231
http://dx.doi.org/10.1093/bioadv/vbac028

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