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Article

Non-invasive Transcriptomic Cell Profiling of the Human Endometrium with Generative Deep Learning

2026-05-20

Abstract excerpt

<h4>Background</h4> Delineating the cellular origins of extracellular vesicles (EVs) enables the detection of clinically relevant changes in dynamic and complex tissues, such as the endometrium, which are not characterizable through single biomarker assays. Transcriptome deconvolution into cellular composition using deep learning methods provides a means to explore this complexity. However, such computational met...

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Literature Corpus work
e8d50cf6-ad62-5a35-8d82-349577c69aab
DOI
10.64898/2026.05.18.26352867
Open publication

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Non-invasive Transcriptomic Cell Profiling of the Human Endometrium with Generative Deep LearningDOI 10.64898/2026.05.18.26352867
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