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Author

Peng Xia

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Open access Aug 2026

Pathomics-based machine learning models for predicting METTL5 expression and prognosis in lung adenocarcinoma

Background METTL5, an N6-methyladenosine (m6A) RNA methyltransferase, has been implicated in tumor progression, but its prognostic value and non-invasive prediction in lung adenocarcinoma (LUAD) remain unclear. This study aimed to develop a pathomics-based machine learning model to predict METTL5 expression from histop...

Xu Chen, Peng Xia, Feng-Hui Zhao · 0 citations

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