MOSGAT: Uniting Specificity-Aware GATs and Cross Modal-Attention to Integrate Multi-Omics Data for Disease Diagnosis
Author:
Affiliation:
1. School of Computer Science and Technology, China University of Petroleum, Qingdao, China
2. School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6221020/10666866/10560503.pdf?arnumber=10560503
Reference44 articles.
1. Harnessing Big Data to Advance Treatment and Understanding of Pulmonary Hypertension
2. Harnessing multimodal data integration to advance precision oncology
3. Noninvasive biomarkers for the diagnosis and management of autoimmune hepatitis
4. A Heterogeneous Network Based Method for Identifying GBM-Related Genes by Integrating Multi-Dimensional Data
5. Undisclosed, unmet and neglected challenges in multi-omics studies
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