Unraveling Spatial Gene Associations with SEAGAL: a Python Package for Spatial Transcriptomics Data Analysis and Visualization

SUMMARY: In the era where transcriptome profiling moves towards 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, Liu, Zhandong
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/PMC9948987/
https://www.ncbi.nlm.nih.gov/pubmed/36824948
http://dx.doi.org/10.1101/2023.02.13.528331

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948987/
https://www.ncbi.nlm.nih.gov/pubmed/36824948
http://dx.doi.org/10.1101/2023.02.13.528331

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