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...

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Detalles Bibliográficos
Autores principales: Chen, Yanshuo, Wang, Yixuan, Chen, Yuelong, Cheng, Yuqi, Wei, Yumeng, Li, Yunxiang, Wang, Jiuming, Wei, Yingying, Chan, Ting-Fung, Li, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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