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Dongmin Bang

Showing results (11-20 of 15) with videos related to

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Frontiers in Pharmacology|February 10, 2025
MDTR: a knowledge-guided interpretable representation for quantifying liver toxicity at transcriptomic levelInyoung Sung, Sangseon Lee, Dongmin Bang, et al.
Briefings in Bioinformatics|August 6, 2023
A model-agnostic framework to enhance knowledge graph-based drug combination prediction with drug-drug interaction data and supervised contrastive learningJeonghyeon Gu, Dongmin Bang, Jungseob Yi, et al.
Computational and Structural Biotechnology Journal|September 2, 2022
On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approachSangsoo Lim, Sangseon Lee, Yinhua Piao, et al.
Bioinformatics (Oxford, England)|July 15, 2025
MixingDTA: improved drug-target affinity prediction by extending mixup with guilt-by-associationYoungoh Kim, Dongmin Bang, Bonil Koo, et al.
International Journal of Molecular Sciences|October 14, 2022
A Survey on Computational Methods for Investigation on ncRNA-Disease Association through the Mode of Action PerspectiveDongmin Bang, Jeonghyeon Gu, Joonhyeong Park, et al.
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Showing results (11-20 of 15) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 15 results.
Frontiers in Pharmacology|February 10, 2025
MDTR: a knowledge-guided interpretable representation for quantifying liver toxicity at transcriptomic levelInyoung Sung, Sangseon Lee, Dongmin Bang, et al.
Briefings in Bioinformatics|August 6, 2023
A model-agnostic framework to enhance knowledge graph-based drug combination prediction with drug-drug interaction data and supervised contrastive learningJeonghyeon Gu, Dongmin Bang, Jungseob Yi, et al.
Computational and Structural Biotechnology Journal|September 2, 2022
On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approachSangsoo Lim, Sangseon Lee, Yinhua Piao, et al.
Bioinformatics (Oxford, England)|July 15, 2025
MixingDTA: improved drug-target affinity prediction by extending mixup with guilt-by-associationYoungoh Kim, Dongmin Bang, Bonil Koo, et al.
International Journal of Molecular Sciences|October 14, 2022
A Survey on Computational Methods for Investigation on ncRNA-Disease Association through the Mode of Action PerspectiveDongmin Bang, Jeonghyeon Gu, Joonhyeong Park, et al.
Pageof 2