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Supervised machine learning identifies impaired mitochondrial quality control in β cells with development of type 2 diabetes

2025-10-23

Abstract excerpt

In type 2 diabetes (T2D), molecular pathways driving β cell failure are difficult to resolve with standard single cell analysis. Here we developed an interpretable, supervised machine learning framework that couples sparse rule-based classification (SnakeClassifier), pathway constrained modelling (BlackSwanClassifier), and β cell mitochondrial fitness stratification (Kolmogorov-Arnold Neural Networks KANN), linkin...

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Identifiers and source

Literature Corpus work
04deb880-6fe0-56b5-880f-bcc89d0e4bd2
DOI
10.1101/2025.10.22.683335
Open publication

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Supervised machine learning identifies impaired mitochondrial quality control in β cells with development of type 2 diabetesDOI 10.1101/2025.10.22.683335
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