TISSUE: uncertainty-calibrated prediction of single-cell spatial transcriptomics improves downstream analyses

Whole-transcriptome spatial profiling of genes at single-cell resolution remains a challenge. To address this limitation, spatial gene expression prediction methods have been developed to infer the spatial expression of unmeasured transcripts, but the quality of these predictions can vary greatly. H...

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Detalles Bibliográficos
Autores principales: Sun, Eric D., Ma, Rong, Navarro Negredo, Paloma, Brunet, Anne, Zou, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168375/
https://www.ncbi.nlm.nih.gov/pubmed/37162839
http://dx.doi.org/10.1101/2023.04.25.538326

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168375/
https://www.ncbi.nlm.nih.gov/pubmed/37162839
http://dx.doi.org/10.1101/2023.04.25.538326

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