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Jingyu Lee

Showing results (11-20 of 19) with videos related to

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Computational and Structural Biotechnology Journal|March 23, 2022
Analysis methods for the gut microbiome in neuropsychiatric and neurodegenerative disordersJae Gwang Song, Myeong-Sang Yu, Bomi Lee, et al.
BMC Medical Informatics and Decision Making|May 31, 2024
A computational clinical decision-supporting system to suggest effective anti-epileptic drugs for pediatric epilepsy patients based on deep learning models using patient's medical historyDaeahn Cho, Myeong-Sang Yu, Jeongyoon Shin, et al.
Computers in Biology and Medicine|April 7, 2020
Pose-aware instance segmentation framework from cone beam CT images for tooth segmentationMinyoung Chung, Minkyung Lee, Jioh Hong, et al.
Chemical Communications (Cambridge, England)|February 10, 2022
A vinylogous Norrish reaction as a strategy for light-mediated ring expansionEvgueni Gorobets, James W Papatzimas, Jorge Dourado, et al.
Computers in Biology and Medicine|November 17, 2024
hERGBoost: A gradient boosting model for quantitative IC<sub>50</sub> prediction of hERG channel blockersMyeong-Sang Yu, Jingyu Lee, Yunhyeok Lee, et al.
Journal of Microbiology and Biotechnology|May 13, 2026
Corrigendum to: Deep Learning-Based Protein Half Life Prediction for Identifying Rate Limiting Enzymes in Metabolic Pathways to Alleviate Bottleneck ReactionsYunhyeok Lee, Jun Ren, Jingyu Lee, et al.
Journal of Microbiology and Biotechnology|April 28, 2026
Deep Learning-Based Protein Half-Life Prediction for Identifying Rate-Limiting Enzymes in Metabolic Pathways to Alleviate Bottleneck ReactionsYunhyeok Lee, Jun Ren, Jingyu Lee, et al.
Bioinformatics (Oxford, England)|September 15, 2023
A machine learning-based quantitative model (LogBB_Pred) to predict the blood-brain barrier permeability (logBB value) of drug compoundsBilal Shaker, Jingyu Lee, Yunhyeok Lee, et al.
Cancers|June 24, 2022
A Novel Proteogenomic Integration Strategy Expands the Breadth of Neo-Epitope SourcesHaitao Xiang, Le Zhang, Fanyu Bu, et al.
Pageof 2

Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
Computational and Structural Biotechnology Journal|March 23, 2022
Analysis methods for the gut microbiome in neuropsychiatric and neurodegenerative disordersJae Gwang Song, Myeong-Sang Yu, Bomi Lee, et al.
BMC Medical Informatics and Decision Making|May 31, 2024
A computational clinical decision-supporting system to suggest effective anti-epileptic drugs for pediatric epilepsy patients based on deep learning models using patient's medical historyDaeahn Cho, Myeong-Sang Yu, Jeongyoon Shin, et al.
Computers in Biology and Medicine|April 7, 2020
Pose-aware instance segmentation framework from cone beam CT images for tooth segmentationMinyoung Chung, Minkyung Lee, Jioh Hong, et al.
Chemical Communications (Cambridge, England)|February 10, 2022
A vinylogous Norrish reaction as a strategy for light-mediated ring expansionEvgueni Gorobets, James W Papatzimas, Jorge Dourado, et al.
Computers in Biology and Medicine|November 17, 2024
hERGBoost: A gradient boosting model for quantitative IC<sub>50</sub> prediction of hERG channel blockersMyeong-Sang Yu, Jingyu Lee, Yunhyeok Lee, et al.
Journal of Microbiology and Biotechnology|May 13, 2026
Corrigendum to: Deep Learning-Based Protein Half Life Prediction for Identifying Rate Limiting Enzymes in Metabolic Pathways to Alleviate Bottleneck ReactionsYunhyeok Lee, Jun Ren, Jingyu Lee, et al.
Journal of Microbiology and Biotechnology|April 28, 2026
Deep Learning-Based Protein Half-Life Prediction for Identifying Rate-Limiting Enzymes in Metabolic Pathways to Alleviate Bottleneck ReactionsYunhyeok Lee, Jun Ren, Jingyu Lee, et al.
Bioinformatics (Oxford, England)|September 15, 2023
A machine learning-based quantitative model (LogBB_Pred) to predict the blood-brain barrier permeability (logBB value) of drug compoundsBilal Shaker, Jingyu Lee, Yunhyeok Lee, et al.
Cancers|June 24, 2022
A Novel Proteogenomic Integration Strategy Expands the Breadth of Neo-Epitope SourcesHaitao Xiang, Le Zhang, Fanyu Bu, et al.
Pageof 2