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Deep Disentangled Representation Learning Reveals Neuron Subtype-Specific Nuclear Morphologies Across Aging in Mice and Humans

2025-10-17

Abstract excerpt

We present a computational pipeline that links nuclear morphology to mRNA expression–based cell phenotypes under diverse biological conditions, including aging, disease progression, and drug response, using RNAscope imaging. The pipeline consists of three components: nuclear segmentation from RNAscope images, nuclear morphology identification, and downstream statistical analysis. Central to our approach is a novel...

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Literature Corpus work
6b84b4f9-7516-5ec7-8486-4e0139d5581a
DOI
10.1101/2025.10.16.682849
Open publication

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Deep Disentangled Representation Learning Reveals Neuron Subtype-Specific Nuclear Morphologies Across Aging in Mice and HumansDOI 10.1101/2025.10.16.682849
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