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Knowledge-guided artificial intelligence technologies for decoding complex multiomics interactions in cells
Dohoon Lee, Sun Kim
Clin Exp Pediatr. 2022;65(5):239-249.   Published online November 26, 2021
· The need for data-driven modeling of multiomics interactions was recently highlighted.
· Many artificial intelligence-driven models have been developed, but only a few have incorporated biological domain knowledge within model architectures or training procedures.
· Here we provide a comprehensive review of deep learning models to decipher complex multiomics interactions regarding the biological guidance imposed upon them to facilitate further development of biological knowledge-guided deep learning models.
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