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Generating Synthetic Single Cell Data from Bulk RNA-seq Using a Pretrained Variational Autoencoder

2024-05-21

Abstract excerpt

Single cell RNA sequencing (scRNA-seq) is a powerful approach which generates genome-wide gene expression profiles at single cell resolution. Among its many applications, it enables determination of the transcriptional states of distinct cell types in complex tissues, thereby allowing the precise cell type and set of genes driving a disease to be identified. However, scRNA-seq remains costly, and there are extreme...

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Literature Corpus work
02a65176-9793-50ca-8d5d-1816e5d340dc
DOI
10.1101/2024.05.18.594837
Open publication

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Generating Synthetic Single Cell Data from Bulk RNA-seq Using a Pretrained Variational AutoencoderDOI 10.1101/2024.05.18.594837
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