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Riemannian Tensor Analysis Identifies a Bifurcation state in the Single-Cell Transcriptomic Landscape of Parkinson's Disease

2026-05-14

Abstract excerpt

<title>Abstract</title> <p> <italic>The transition from healthy aging to Parkinson's disease (PD) involves highly volatile transcriptomic rewiring that remains invisible to conventional mean-based analyses. To decode this critical tipping point, we integrated single-cell RNA-sequencing with a novel Log-Euclidean Riemannian tensor framework. By conceptualizing distinct transcriptomic states as symmetric positive...

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Literature Corpus work
197e2eb9-f40b-588d-b491-2f8f6f99ad4a
DOI
10.21203/rs.3.rs-9698660/v1
Open publication

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Riemannian Tensor Analysis Identifies a Bifurcation state in the Single-Cell Transcriptomic Landscape of Parkinson's DiseaseDOI 10.21203/rs.3.rs-9698660/v1
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