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Young-Rae Cho
Aidong Zhang

Showing results (21-30 of 232) with videos related to

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Methods (San Diego, Calif.)|November 5, 2021
Comparative analysis of network-based approaches and machine learning algorithms for predicting drug-target interactionsYi-Sue Jung, Yoonbee Kim, Young-Rae Cho
International Journal of Molecular Sciences|July 9, 2022
Network-Based Approaches for Disease-Gene Association Prediction Using Protein-Protein Interaction NetworksYoonbee Kim, Jong-Hoon Park, Young-Rae Cho
Interdisciplinary Sciences, Computational Life Sciences|December 6, 2013
Survey: Enhancing protein complex prediction in PPI networks with GO similarity weightingTrue Price, Francisco I Peña, Young-Rae Cho
Bioinformatics (Oxford, England)|July 15, 2025
FACT: Feature Aggregation and Convolution with Transformers for predicting drug classification codeGwang-Hyeon Yun, Jong-Hoon Park, Young-Rae Cho
Computer Methods and Programs in Biomedicine|October 5, 2025
MEMOL: Mixture of experts for multimodal learning through multi-head attention to predict drug toxicityJae-Woo Chu, Jong-Hoon Park, Young-Rae Cho
Journal of Colloid and Interface Science|August 19, 2022
High performance aqueous zinc battery enabled by potassium ion stabilizationYi Liu, Ying Liu, Xiang Wu, et al.
Briefings in Bioinformatics|February 5, 2026
TriDTI: tri-modal representation learning with cross-modal alignment for drug-target interaction predictionGwang-Hyeon Yun, Jong-Hoon Park, Young-Rae Cho
ACS Applied Materials & Interfaces|February 24, 2022
Enhanced Electrochemical Performance of Zn/VO<sub></sub> Batteries by a Carbon-Encapsulation StrategyYing Liu, Yi Liu, Xiang Wu, et al.
Journal of Colloid and Interface Science|July 28, 2017
Transparent, conductive, and superhydrophobic nanocomposite coatings on polymer substrateWenhui Yao, Kwang-Jin Bae, Myung Yung Jung, et al.
ACS Applied Materials & Interfaces|October 25, 2024
Slippery Liquid-Infused Porous Surfaces Containing UiO-66 Incorporated with 8-Hydroxyquinoline for Excellent Corrosion Protection of AZ31 Mg AlloysJie Qin, Wenhui Yao, Liang Wu, et al.
Pageof 24

Showing results (21-30 of 232) with videos related to

Sort By:
Pageof 24
Methods (San Diego, Calif.)|November 5, 2021
Comparative analysis of network-based approaches and machine learning algorithms for predicting drug-target interactionsYi-Sue Jung, Yoonbee Kim, Young-Rae Cho
International Journal of Molecular Sciences|July 9, 2022
Network-Based Approaches for Disease-Gene Association Prediction Using Protein-Protein Interaction NetworksYoonbee Kim, Jong-Hoon Park, Young-Rae Cho
Interdisciplinary Sciences, Computational Life Sciences|December 6, 2013
Survey: Enhancing protein complex prediction in PPI networks with GO similarity weightingTrue Price, Francisco I Peña, Young-Rae Cho
Bioinformatics (Oxford, England)|July 15, 2025
FACT: Feature Aggregation and Convolution with Transformers for predicting drug classification codeGwang-Hyeon Yun, Jong-Hoon Park, Young-Rae Cho
Computer Methods and Programs in Biomedicine|October 5, 2025
MEMOL: Mixture of experts for multimodal learning through multi-head attention to predict drug toxicityJae-Woo Chu, Jong-Hoon Park, Young-Rae Cho
Journal of Colloid and Interface Science|August 19, 2022
High performance aqueous zinc battery enabled by potassium ion stabilizationYi Liu, Ying Liu, Xiang Wu, et al.
Briefings in Bioinformatics|February 5, 2026
TriDTI: tri-modal representation learning with cross-modal alignment for drug-target interaction predictionGwang-Hyeon Yun, Jong-Hoon Park, Young-Rae Cho
ACS Applied Materials & Interfaces|February 24, 2022
Enhanced Electrochemical Performance of Zn/VO<sub></sub> Batteries by a Carbon-Encapsulation StrategyYing Liu, Yi Liu, Xiang Wu, et al.
Journal of Colloid and Interface Science|July 28, 2017
Transparent, conductive, and superhydrophobic nanocomposite coatings on polymer substrateWenhui Yao, Kwang-Jin Bae, Myung Yung Jung, et al.
ACS Applied Materials & Interfaces|October 25, 2024
Slippery Liquid-Infused Porous Surfaces Containing UiO-66 Incorporated with 8-Hydroxyquinoline for Excellent Corrosion Protection of AZ31 Mg AlloysJie Qin, Wenhui Yao, Liang Wu, et al.
Pageof 24