Semisupervised adversarial neural networks for single-cell classification

Annotating cell identities is a common bottleneck in the analysis of single-cell genomics experiments. Here, we present scNym, a semisupervised, adversarial neural network that learns to transfer cell identity annotations from one experiment to another. scNym takes advantage of information in both l...

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Detalles Bibliográficos
Autores principales: Kimmel, Jacob C., Kelley, David R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2021
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494222/
https://www.ncbi.nlm.nih.gov/pubmed/33627475
http://dx.doi.org/10.1101/gr.268581.120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494222/
https://www.ncbi.nlm.nih.gov/pubmed/33627475
http://dx.doi.org/10.1101/gr.268581.120

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