Intra- and inter-multi-omics interaction analysis using deep learning

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ID: 320510
2026
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Abstract
Abstract Multi-omics interactions, including intra- and inter-omics interactions as well as socio-environmental influences, are key to uncovering molecular mechanisms that may be missed by individual omics analysis or conventional integration approaches. Deep learning offers a promising solution to overcome current limitations, including the complexity of modeling high-dimensional, nonlinear interactions, limited sample size and multiple testing burden.
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openalex_W7167950531 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Mingon Kang, Eunyoung Jang, Tesfaye B. Mersha
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Journal Bioinformatics advances
Year 2026
DOI
10.1093/bioadv/vbag165
URL
https://academic.oup.com/bioinformaticsadvances/advance-article-pdf/doi/10.1093/bioadv/vbag165/68741416/vbag165.pdf
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