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Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis
Single-cell RNA-sequencing has become a powerful tool to study biologically significant characteristics at explicitly high resolution. However, its application on emerging data is currently limited by its intrinsic techniques. Here, we introduce Tissue-AdaPtive autoEncoder (TAPE), a deep learning me...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641692/ https://www.ncbi.nlm.nih.gov/pubmed/36347853 http://dx.doi.org/10.1038/s41467-022-34550-9 |