Single-cell gene regulatory network prediction by explainable AI

The molecular heterogeneity of cancer cells contributes to the often partial response to targeted therapies and relapse of disease due to the escape of resistant cell populations. While single-cell sequencing has started to improve our understanding of this heterogeneity, it offers a mostly descript...

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Detalles Bibliográficos
Autores principales: Keyl, Philipp, Bischoff, Philip, Dernbach, Gabriel, Bockmayr, Michael, Fritz, Rebecca, Horst, David, Blüthgen, Nils, Montavon, Grégoire, Müller, Klaus-Robert, Klauschen, Frederick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9976884/
https://www.ncbi.nlm.nih.gov/pubmed/36629274
http://dx.doi.org/10.1093/nar/gkac1212

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9976884/
https://www.ncbi.nlm.nih.gov/pubmed/36629274
http://dx.doi.org/10.1093/nar/gkac1212

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