CoSTA: unsupervised convolutional neural network learning for spatial transcriptomics analysis

BACKGROUND: The rise of spatial transcriptomics technologies is leading to new insights about how gene regulation happens in a spatial context. Determining which genes are expressed in similar spatial patterns can reveal gene regulatory relationships across cell types in a tissue. However, many curr...

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Detalles Bibliográficos
Autores principales: Xu, Yang, McCord, Rachel Patton
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351440/
https://www.ncbi.nlm.nih.gov/pubmed/34372758
http://dx.doi.org/10.1186/s12859-021-04314-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351440/
https://www.ncbi.nlm.nih.gov/pubmed/34372758
http://dx.doi.org/10.1186/s12859-021-04314-1

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