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CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with

Chen Zhao1, Anqi Liu2, Xiao Zhang2

  • 1Department of Applied Computing, Michigan Technological University, 1400 Townsend Dr, Houghton, MI 49931, USA.

Research Square
|May 19, 2023
PubMed
Summary

This study introduces a deep learning method, Cross-omics Linked unified embedding with Contrastive Learning and Self Attention (CLCLSA), for integrating incomplete multi-omics data. CLCLSA effectively handles missing data, improving disease and phenotype understanding.

Keywords:
autoencoderscontrastive learningdeep learningincomplete omics datamulti-omics integration

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