CoSTA: unsupervised convolutional neural network learning for spatial transcriptomics analysis
Abstract 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, m...
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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BMC
2021-08-01
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| Colección: | BMC Bioinformatics |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1186/s12859-021-04314-1 |
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