Article

miDGD: a multi-modal deep generative model predicts microRNA expression from bulk or single-cell mRNA expression

2026-06-02

Abstract excerpt

MicroRNAs (miRNAs) are important post-transcriptional regulators, yet their expression is typically unobserved in single-cell and most bulk RNA-seq datasets. We present miDGD, a deep generative decoder model that predicts miRNA abundance directly from gene expression alone. Trained on bulk and single-cell datasets from TCGA, GTEx, and human cell lines, miDGD learned a shared latent representation of matched mRNA a...

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Literature Corpus work: 528cc5d2-95b6-5085-8920-12de08b320a3
DOI: 10.64898/2026.05.29.727918

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