Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis

Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis

Traditional bulk sequencing data lack information about cell-type-specific gene expression. Here, the authors develop a Tissue-AdaPtive autoEncoder (TAPE), a deep learning method connecting bulk RNA-seq and single-cell RNA-seq, and apply it to analyze the cell type fractions and cell-type-specific g...

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Bibliographic Details
Main Authors: Yanshuo Chen, Yixuan Wang, Yuelong Chen, Yuqi Cheng, Yumeng Wei, Yunxiang Li, Jiuming Wang, Yingying Wei, Ting-Fung Chan, Yu Li
Format: Article
Language:English
Published: Nature Portfolio 2022-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-34550-9

Internet

https://doi.org/10.1038/s41467-022-34550-9

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