Article

N-of-one differential gene expression without control samples using a deep generative model

2023-01-28

Abstract excerpt

Differential gene expression analysis of bulk RNA sequencing data plays a major role in the diagnosis, prognosis, and understanding of disease. Such analyses are often challenging due to a lack of good controls and the heterogeneous nature of the samples. Here, we present a deep generative model that can replace control samples. The model is trained on RNA-seq data from healthy tissues and learns a low-dimensional...

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Literature Corpus work: 8b38f4ae-db2b-58ce-8989-79d6ebc82f45
DOI: 10.1101/2023.01.27.525843

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