Integrating transcriptomics and hybrid machine learning enables high-accuracy diagnostic modeling for nasopharyngeal carcinoma

Integrating transcriptomics and hybrid machine learning enables high-accuracy diagnostic modeling for nasopharyngeal carcinoma

Abstract Background Nasopharyngeal carcinoma (NPC) lacks biomarkers demonstrating both high specificity and sensitivity for early diagnosis. This study aimed to develop robust machine learning (ML)-driven diagnostic models and identify key biomarkers through integrated analysis of multi-cohort trans...

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Bibliographic Details
Main Authors: Hehe Wang, Junge Zhang, Peng Cheng, Lujie Yu, Chunlin Li, Yaowen Wang
Format: Article
Language:English
Published: Springer 2025-06-01
Series:Discover Oncology
Subjects:
Nasopharyngeal carcinoma
Machine learning
Diagnostic model
Biomarker discovery
RCN1
Online Access:https://doi.org/10.1007/s12672-025-02932-2
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https://doi.org/10.1007/s12672-025-02932-2

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