Unravelling spatial gene associations with SEAGAL: a Python package for spatial transcriptomics data analysis and visualization

SUMMARY: In the era where transcriptome profiling moves toward single-cell and spatial resolutions, the traditional co-expression analysis lacks the power to fully utilize such rich information to unravel spatial gene associations. Here, we present a Python package called Spatial Enrichment Analysis...

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Detalles Bibliográficos
Autores principales: Wang, Linhua, Liu, Chaozhong, Gao, Yang, Zhang, Xiang H -F, Liu, Zhandong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363022/
https://www.ncbi.nlm.nih.gov/pubmed/37436699
http://dx.doi.org/10.1093/bioinformatics/btad431

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363022/
https://www.ncbi.nlm.nih.gov/pubmed/37436699
http://dx.doi.org/10.1093/bioinformatics/btad431

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