Prioritizing perturbation-responsive gene patterns using interpretable deep learning
Abstract Spatially resolved transcriptomics enables mapping of multiplexed gene expression within tissue contexts. While existing methods prioritize spatially variable genes within a single slice, few address identifying genes with differential spatial expression patterns (DSEPs) across multiple con...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2025-07-01
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| coleção: | Nature Communications |
| Acesso em linha: | https://doi.org/10.1038/s41467-025-61476-9 |
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