Progressively Helical Multi-Omics Data Fusion GCN and Its Application in Lung Adenocarcinoma

Progressively Helical Multi-Omics Data Fusion GCN and Its Application in Lung Adenocarcinoma

Compared to single-omics data, utilizing multi-omics data helps to gain a more comprehensive understanding of the occurrence and development of cancer, which emphasizes the necessity of developing efficient multi-omics data fusion approaches. In this study, a novel framework based on graph convoluti...

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Bibliographic Details
Main Authors: Junxuan Zhu, Jinhan Zhang, Liyan Wang, Hao Huang, Zhibo Zhang, Kai Song, Xiaofei Zhang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Multi-omics data fusion
graph convolution neural network
lung adenocarcinoma
gene-gene interaction
Online Access:https://ieeexplore.ieee.org/document/10185917/

Internet

https://ieeexplore.ieee.org/document/10185917/

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