Biologically informed deep learning to query gene programs in single-cell atlases

The increasing availability of large-scale single-cell atlases has enabled the detailed description of cell states. In parallel, advances in deep learning allow rapid analysis of newly generated query datasets by mapping them into reference atlases. However, existing data transformations learned to...

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Detalles Bibliográficos
Autores principales: Lotfollahi, Mohammad, Rybakov, Sergei, Hrovatin, Karin, Hediyeh-zadeh, Soroor, Talavera-López, Carlos, Misharin, Alexander V., Theis, Fabian J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Technical Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9928587/
https://www.ncbi.nlm.nih.gov/pubmed/36732632
http://dx.doi.org/10.1038/s41556-022-01072-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9928587/
https://www.ncbi.nlm.nih.gov/pubmed/36732632
http://dx.doi.org/10.1038/s41556-022-01072-x

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