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...

Celý popis

Podrobná bibliografia

Vydané v:	Computer methods and programs in biomedicine Ročník 231; s. 107377
Hlavní autori:	Gong, Ping, Cheng, Lei, Zhang, Zhiyuan, Meng, Ao, Li, Enshuo, Chen, Jie, Zhang, Longzhen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Ireland Elsevier B.V 01.04.2023
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!