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Jae Yong Ryu

Showing results (21-30 of 60) with videos related to

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BMC Bioinformatics|February 24, 2023
PredAOT: a computational framework for prediction of acute oral toxicity based on multiple random forest modelsJae Yong Ryu, Woo Dae Jang, Jidon Jang, et al.
The New Phytologist|August 11, 2015
High temperature attenuates the gravitropism of inflorescence stems by inducing SHOOT GRAVITROPISM 5 alternative splicing in ArabidopsisJoo-Young Kim, Jae Yong Ryu, Kon Baek, et al.
Environmental Science & Technology|July 29, 2005
Homologue and isomer patterns of polychlorinated dibenzo-p-dioxins and dibenzofurans from phenol precursors: comparison with municipal waste incinerator dataJae-Yong Ryu, James A Mulholland, Do Hyong Kim, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 13, 2023
Computational prediction of interactions between Paxlovid and prescription drugsYeji Kim, Jae Yong Ryu, Hyun Uk Kim, et al.
Computational and Structural Biotechnology Journal|May 29, 2024
AnoChem: Prediction of chemical structural abnormalities based on machine learning modelsChangdai Gu, Woo Dae Jang, Kwang-Seok Oh, et al.
New Biotechnology|June 9, 2026
Harnessing computational intelligence for synthetic lethality: A roadmap from network biology to interpretable deep learning in precision oncologyYumi Noh, Mohamed El-Agamy Farh, Jae Yong Ryu, et al.
Molecular Plant|November 6, 2016
SPL3/4/5 Integrate Developmental Aging and Photoperiodic Signals into the FT-FD Module in Arabidopsis FloweringJae-Hoon Jung, Hyo-Jun Lee, Jae Yong Ryu, et al.
International Journal of Molecular Sciences|June 12, 2026
Integrating Genome-Scale Metabolic Modeling with Machine Learning Improves Gene Essentiality Prediction in Triple-Negative Breast CancerBo Kyung Kim, Changdai Gu, Mohamed El-Agamy Farh, et al.
Artificial Intelligence in Medicine|June 22, 2025
Predicting drug-drug interactions: A deep learning approach with GCN-based collaborative filteringYeon Uk Jeong, Jeongwhan Choi, Noseong Park, et al.
Chemosphere|June 1, 2005
CuCl2-catalyzed PCDD/F formation and congener patterns from phenolsJae-Yong Ryu, James A Mulholland, Masao Takeuchi, et al.
Pageof 6

Showing results (21-30 of 60) with videos related to

Sort By:
Pageof 6
BMC Bioinformatics|February 24, 2023
PredAOT: a computational framework for prediction of acute oral toxicity based on multiple random forest modelsJae Yong Ryu, Woo Dae Jang, Jidon Jang, et al.
The New Phytologist|August 11, 2015
High temperature attenuates the gravitropism of inflorescence stems by inducing SHOOT GRAVITROPISM 5 alternative splicing in ArabidopsisJoo-Young Kim, Jae Yong Ryu, Kon Baek, et al.
Environmental Science & Technology|July 29, 2005
Homologue and isomer patterns of polychlorinated dibenzo-p-dioxins and dibenzofurans from phenol precursors: comparison with municipal waste incinerator dataJae-Yong Ryu, James A Mulholland, Do Hyong Kim, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 13, 2023
Computational prediction of interactions between Paxlovid and prescription drugsYeji Kim, Jae Yong Ryu, Hyun Uk Kim, et al.
Computational and Structural Biotechnology Journal|May 29, 2024
AnoChem: Prediction of chemical structural abnormalities based on machine learning modelsChangdai Gu, Woo Dae Jang, Kwang-Seok Oh, et al.
New Biotechnology|June 9, 2026
Harnessing computational intelligence for synthetic lethality: A roadmap from network biology to interpretable deep learning in precision oncologyYumi Noh, Mohamed El-Agamy Farh, Jae Yong Ryu, et al.
Molecular Plant|November 6, 2016
SPL3/4/5 Integrate Developmental Aging and Photoperiodic Signals into the FT-FD Module in Arabidopsis FloweringJae-Hoon Jung, Hyo-Jun Lee, Jae Yong Ryu, et al.
International Journal of Molecular Sciences|June 12, 2026
Integrating Genome-Scale Metabolic Modeling with Machine Learning Improves Gene Essentiality Prediction in Triple-Negative Breast CancerBo Kyung Kim, Changdai Gu, Mohamed El-Agamy Farh, et al.
Artificial Intelligence in Medicine|June 22, 2025
Predicting drug-drug interactions: A deep learning approach with GCN-based collaborative filteringYeon Uk Jeong, Jeongwhan Choi, Noseong Park, et al.
Chemosphere|June 1, 2005
CuCl2-catalyzed PCDD/F formation and congener patterns from phenolsJae-Yong Ryu, James A Mulholland, Masao Takeuchi, et al.
Pageof 6