Efficient prediction of a spatial transcriptomics profile better characterizes breast cancer tissue sections without costly experimentation

Spatial transcriptomics is an emerging technology requiring costly reagents and considerable skills, limiting the identification of transcriptional markers related to histology. Here, we show that predicted spatial gene-expression in unmeasured regions and tissues can enhance biologists’ histologica...

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Detalles Bibliográficos
Autores principales: Monjo, Taku, Koido, Masaru, Nagasawa, Satoi, Suzuki, Yutaka, Kamatani, Yoichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904587/
https://www.ncbi.nlm.nih.gov/pubmed/35260632
http://dx.doi.org/10.1038/s41598-022-07685-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904587/
https://www.ncbi.nlm.nih.gov/pubmed/35260632
http://dx.doi.org/10.1038/s41598-022-07685-4

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