Multi-omics integration method based on attention deep learning network for biomedical data classification

•Proposed a novel end-to-end Multi-omics attention deep learning network (MOADLN) for biomedical data classification.•MOADLN jointly explores the correlation between patients in intra-omics and the correlation of cross-omics in the label space.•Construct the patient correlation via self-attention in...

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Bibliographic Details

Published in:	Computer methods and programs in biomedicine Vol. 231; p. 107377
Main Authors:	Gong, Ping, Cheng, Lei, Zhang, Zhiyuan, Meng, Ao, Li, Enshuo, Chen, Jie, Zhang, Longzhen
Format:	Journal Article
Language:	English
Published:	Ireland Elsevier B.V 01.04.2023
Subjects:	Algorithms Attention mechanism Biomedical data classification Computational Biology - methods Deep Learning Humans MicroRNAs Multi-omics integration Multiomics Biomedical data classification Deep learning Attention mechanism Multi-omics integration
ISSN:	0169-2607, 1872-7565, 1872-7565
Online Access:	Get full text
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