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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.
Original Article
Molecular analysis of childhood acute lekemia.
Hack Ki Kim, Kyong Su Lee, Sung Hoon Cho, Du Bong Lee
Clin Exp Pediatr. 1991;34(2):164-171.   Published online February 28, 1991
Immunoglobulin (Ig) and T cell receptor 0 chain (TcR分) gene rearrangements can be used as ”genetic marker” of lineage and clonality in the study of lymphoproliferative disease. We analyzed genomic DNA of the bone marrow mononuclear cells from twenty six patients with acute leukemia in children. The patients were seventeen cases of acute lymphocytic leukmia (ALL), seven cases of acute nonlymphocytic leukemia (ANL) and...
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