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CLCLSA: Cross-omics linked embedding with contrastive learning and self attention for integration with incomplete multi-omics data.

Computers in biology and medicine - 1 Mar 2024

Zhao Chen, Liu Anqi, Zhang Xiao, Cao Xuewei, Ding Zhengming, Sha Qiuying, Shen Hui, Deng Hong-Wen, Zhou Weihua

Abstract excerpt

Integration of heterogeneous and high-dimensional multi-omics data is becoming increasingly important in understanding etiology of complex genetic diseases. Each omics technique only provides a limited view of the underlying biological process and integrating heterogeneous omics layers simultaneously would lead to a more comprehensive and detailed understanding of diseases and phenotypes. However, one obstacle...

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PMID: 38295477
DOI: 10.1016/j.compbiomed.2024.108058
PMCID: PMC10959569

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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