A deep learning framework for hepatocellular carcinoma diagnosis using MS1 data

A deep learning framework for hepatocellular carcinoma diagnosis using MS1 data

Abstract Clinical proteomics analysis is of great significance for analyzing pathological mechanisms and discovering disease-related biomarkers. Using computational methods to accurately predict disease types can effectively improve patient disease diagnosis and prognosis. However, how to eliminate...

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Main Authors: Wei Xu, Liying Zhang, Xiaoliang Qian, Nannan Sun, Xiao Tu, Dengfeng Zhou, Xiaoping Zheng, Jia Chen, Zewen Xie, Tao He, Shugang Qu, Yinjia Wang, Keda Yang, Kunkai Su, Shan Feng, Bin Ju
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-77494-4
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https://doi.org/10.1038/s41598-024-77494-4

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