Multimodal fusion of radio-pathology and proteogenomics identify integrated glioma subtypes with prognostic and therapeutic opportunities

Multimodal fusion of radio-pathology and proteogenomics identify integrated glioma subtypes with prognostic and therapeutic opportunities

Abstract Integrating multimodal data can uncover causal features hidden in single-modality analyses, offering a comprehensive understanding of disease complexity. This study introduces a multimodal fusion subtyping (MOFS) framework that integrates radiological, pathological, genomic, transcriptomic,...

Full description

Saved in:
Bibliographic Details
Main Authors: Zaoqu Liu, Yushuai Wu, Hui Xu, Minkai Wang, Siyuan Weng, Dongling Pei, Shuang Chen, WeiWei Wang, Jing Yan, Li Cui, Jingxian Duan, Yuanshen Zhao, Zilong Wang, Zeyu Ma, Ran Li, Wenchao Duan, Yuning Qiu, Dingyuan Su, Sen Li, Haoran Liu, Wenyuan Li, Caoyuan Ma, Miaomiao Yu, Yinhui Yu, Te Chen, Jing Fu, YingWei Zhen, Bin Yu, Yuchen Ji, Hairong Zheng, Dong Liang, Xianzhi Liu, Dongming Yan, Xinwei Han, Fubing Wang, Zhi-Cheng Li, Zhenyu Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-58675-9
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41467-025-58675-9

Similar Items