Article

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

2021-10-27

Abstract excerpt

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 method connecting bulk RNA-seq and single-cell RNA-seq to achieve precise deconvolution in a short time. By constructin...

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Literature Corpus work: 64168fdc-f72c-51d8-8664-5a37bda5278a
DOI: 10.1101/2021.10.26.465846

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