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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

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