Combining Neuroimaging and Omics Datasets for Disease Classification Using Graph Neural Networks

Combining Neuroimaging and Omics Datasets for Disease Classification Using Graph Neural Networks

Both neuroimaging and genomics datasets are often gathered for the detection of neurodegenerative diseases. Huge dimensionalities of neuroimaging data as well as omics data pose tremendous challenge for methods integrating multiple modalities. There are few existing solutions that can combine both m...

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Bibliographic Details
Main Authors: Yi Hao Chan, Conghao Wang, Wei Kwek Soh, Jagath C. Rajapakse
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Neuroscience
Subjects:
attention
diffusion tensor imaging
disease classification
functional magnetic resonance imaging
Generative Adversarial Networks
graph convolutional networks
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.866666/full

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https://www.frontiersin.org/articles/10.3389/fnins.2022.866666/full

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