Learning single-cell perturbation responses using neural optimal transport

Understanding and predicting molecular responses in single cells upon chemical, genetic or mechanical perturbations is a core question in biology. Obtaining single-cell measurements typically requires the cells to be destroyed. This makes learning heterogeneous perturbation responses challenging as...

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Detalles Bibliográficos
Autores principales: Bunne, Charlotte, Stark, Stefan G., Gut, Gabriele, del Castillo, Jacobo Sarabia, Levesque, Mitch, Lehmann, Kjong-Van, Pelkmans, Lucas, Krause, Andreas, Rätsch, Gunnar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630137/
https://www.ncbi.nlm.nih.gov/pubmed/37770709
http://dx.doi.org/10.1038/s41592-023-01969-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630137/
https://www.ncbi.nlm.nih.gov/pubmed/37770709
http://dx.doi.org/10.1038/s41592-023-01969-x

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