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Semla: a versatile toolkit for spatially resolved transcriptomics analysis and visualization
SUMMARY: Spatially resolved transcriptomics technologies generate gene expression data with retained positional information from a tissue section, often accompanied by a corresponding histological image. Computational tools should make it effortless to incorporate spatial information into data analy...
Autores principales: | Larsson, Ludvig, Franzén, Lovisa, Ståhl, Patrik L, Lundeberg, Joakim |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597621/ https://www.ncbi.nlm.nih.gov/pubmed/37846051 http://dx.doi.org/10.1093/bioinformatics/btad626 |
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