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Gene–Morphology Alignment via Graph-Constrained Latent Modeling for Molecular Subtype Prediction from Histopathology in Pancreatic Cancer

2026-03-06

Abstract excerpt

1 Molecular subtyping of cancer is traditionally defined in transcriptomic space, yet routine clinical deployment is limited by the availability and cost of sequencing. Meanwhile, histopathology captures rich morphological information that is known to correlate with molecular state but lacks a principled, mechanistic bridge to gene-level representations. We propose a graph-constrained learning framework that align...

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Literature Corpus work
17d220b5-a4b6-546f-a48b-e1d0468a68c3
DOI
10.64898/2026.03.05.26347711
Open publication

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Gene–Morphology Alignment via Graph-Constrained Latent Modeling for Molecular Subtype Prediction from Histopathology in Pancreatic CancerDOI 10.64898/2026.03.05.26347711
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