SingleCellSignalR: inference of intercellular networks from single-cell transcriptomics

Single-cell transcriptomics offers unprecedented opportunities to infer the ligand–receptor (LR) interactions underlying cellular networks. We introduce a new, curated LR database and a novel regularized score to perform such inferences. For the first time, we try to assess the confidence in predict...

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Detalles Bibliográficos
Autores principales: Cabello-Aguilar, Simon, Alame, Mélissa, Kon-Sun-Tack, Fabien, Fau, Caroline, Lacroix, Matthieu, Colinge, Jacques
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7261168/
https://www.ncbi.nlm.nih.gov/pubmed/32196115
http://dx.doi.org/10.1093/nar/gkaa183

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7261168/
https://www.ncbi.nlm.nih.gov/pubmed/32196115
http://dx.doi.org/10.1093/nar/gkaa183

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