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Seungheun Baek

Showing results (1-10 of 4) with videos related to

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Bioinformatics (Oxford, England)|July 15, 2025
GPO-VAE: modeling explainable gene perturbation responses utilizing GRN-aligned parameter optimizationSeungheun Baek, Soyon Park, Yan Ting Chok, et al.
Bioinformatics Advances|April 9, 2025
BADGER: biologically-aware interpretable differential gene expression ranking modelHajung Kim, Mogan Gim, Seungheun Baek, et al.
Bioinformatics (Oxford, England)|June 28, 2024
MolPLA: a molecular pretraining framework for learning cores, R-groups and their linker jointsMogan Gim, Jueon Park, Soyon Park, et al.
Bioinformatics (Oxford, England)|June 30, 2023
ArkDTA: attention regularization guided by non-covalent interactions for explainable drug-target binding affinity predictionMogan Gim, Junseok Choe, Seungheun Baek, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Bioinformatics (Oxford, England)|July 15, 2025
GPO-VAE: modeling explainable gene perturbation responses utilizing GRN-aligned parameter optimizationSeungheun Baek, Soyon Park, Yan Ting Chok, et al.
Bioinformatics Advances|April 9, 2025
BADGER: biologically-aware interpretable differential gene expression ranking modelHajung Kim, Mogan Gim, Seungheun Baek, et al.
Bioinformatics (Oxford, England)|June 28, 2024
MolPLA: a molecular pretraining framework for learning cores, R-groups and their linker jointsMogan Gim, Jueon Park, Soyon Park, et al.
Bioinformatics (Oxford, England)|June 30, 2023
ArkDTA: attention regularization guided by non-covalent interactions for explainable drug-target binding affinity predictionMogan Gim, Junseok Choe, Seungheun Baek, et al.
Pageof 1