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Tae-Jin Oh
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 6
Top Topics
Deep Learning
Mhc Class Ii
Protein Interaction
Approximation Error
Top Venues
CoRR
BMC Bioinform.
Briefings Bioinform.
Comput. Biol. Chem.
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Publications
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Sojung An
,
Tae-Jin Oh
,
Eunha Sohn
,
Donghyun Kim
Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting.
CoRR
(2024)
Gelany Aly Abdelkader
,
Soualihou Ngnamsie Njimbouom
,
Prince Delator Gidiglo
,
Tae-Jin Oh
,
Jeong-Dong Kim
Efficient Machine Learning-Based Prediction of CYP450 Inhibition.
DEXA (2)
(2023)
Gelany Aly Abdelkader
,
Soualihou Ngnamsie Njimbouom
,
Tae-Jin Oh
,
Jeong-Dong Kim
ResBiGAAT: Residual Bi-GRU with attention for protein-ligand binding affinity prediction.
Comput. Biol. Chem.
107 (2023)
So-Ra Han
,
Mingyu Park
,
Sai Kosaraju
,
Jeungmin Lee
,
Hyun Lee
,
Jun Hyuck Lee
,
Tae-Jin Oh
,
Mingon Kang
Evidential deep learning for trustworthy prediction of enzyme commission number.
Briefings Bioinform.
25 (1) (2023)
Sehun Chun
,
Tae-Jin Oh
Divergence/Connection Preservation Scheme in the Curvilinear Domain with a Small Geometric Approximation Error.
J. Sci. Comput.
92 (1) (2022)
Ermal Elbasani
,
Soualihou Ngnamsie Njimbouom
,
Tae-Jin Oh
,
Eung-Hee Kim
,
Hyun Lee
,
Jeong-Dong Kim
GCRNN: graph convolutional recurrent neural network for compound-protein interaction prediction.
BMC Bioinform.
(5) (2021)