Article

Tumor cell specific total mRNA expression informed neural networks predicts cancer progression

2026-05-06

Abstract excerpt

Inferring tumor molecular phenotypes from high-dimensional multi-omic data is a fundamental challenge in computational biology. Current methods for estimating tumor cell–specific total mRNA expression (TmS) require matched DNA and RNA sequencing data and rely on computationally intensive deconvolution pipelines. We present TmSNet, a deep learning framework that predicts TmS using mRNA, DNA methylation, miRNA, and...

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Literature Corpus work: 8e2b939c-e88a-5df3-9877-6d40de71cb6c
DOI: 10.64898/2026.05.01.722212

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