2024
DOI: 10.1093/bib/bbae364
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Integrated multi-omics with machine learning to uncover the intricacies of kidney disease

Xinze Liu,
Jingxuan Shi,
Yuanyuan Jiao
et al.

Abstract: The development of omics technologies has driven a profound expansion in the scale of biological data and the increased complexity in internal dimensions, prompting the utilization of machine learning (ML) as a powerful toolkit for extracting knowledge and understanding underlying biological patterns. Kidney disease represents one of the major growing global health threats with intricate pathogenic mechanisms and a lack of precise molecular pathology-based therapeutic modalities. Accordingly, there is a need f… Show more

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