Machine Learning Diagnostic Model for Hepatocellular Carcinoma Based on Liquid–Liquid Phase Separation and Ferroptosis-Related Genes

Machine Learning Diagnostic Model for Hepatocellular Carcinoma Based on Liquid–Liquid Phase Separation and Ferroptosis-Related Genes

Background/Aims: Hepatocellular carcinoma (HCC) represents a primary liver malignancy with a multifaceted molecular landscape. The interplay between liquid–liquid phase separation (LLPS) and ferroptosis—a regulated form of cell death—has garnered interest in tumorigenesis. However, the precise role...

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Bibliographic Details
Main Authors: Wenchao Chen, Ting Zhu, Xiaofan Pu, Linlin Zhao, Senhao Zhou, Xin Zhong, Suihan Wang, Tianyu Lin
Format: Article
Language:English
Published: AVES 2025-02-01
Series:The Turkish Journal of Gastroenterology
Online Access:https://www.turkjgastroenterol.org/en/machine-learning-diagnostic-model-for-hepatocellular-carcinoma-based-on-liquid-liquid-phase-separation-and-ferroptosis-related-genes-137284
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https://www.turkjgastroenterol.org/en/machine-learning-diagnostic-model-for-hepatocellular-carcinoma-based-on-liquid-liquid-phase-separation-and-ferroptosis-related-genes-137284

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