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Scientific Reports|January 12, 2021
GVES: machine learning model for identification of prognostic genes with a small datasetSoohyun Ko, Jonghwan Choi, Jaegyoon AhnScientific Reports|February 7, 2020
RefDNN: a reference drug based neural network for more accurate prediction of anticancer drug resistanceJonghwan Choi, Sanghyun Park, Jaegyoon AhnJournal of Cheminformatics|January 19, 2023
COMA: efficient structure-constrained molecular generation using contractive and margin lossesJonghwan Choi, Sangmin Seo, Sanghyun ParkBMC Bioinformatics|May 5, 2025
PathNetDRP: a novel biomarker discovery framework using pathway and protein-protein interaction networks for immune checkpoint inhibitor response predictionDohee Lee, Jaegyoon Ahn, Jonghwan ChoiBioinformatics (Oxford, England)|September 30, 2017
Improved prediction of breast cancer outcome by identifying heterogeneous biomarkersJonghwan Choi, Sanghyun Park, Youngmi Yoon, et al.Journal of Chemical Information and Modeling|February 24, 2025
Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-Directed Molecular GenerationJinyeong Park, Jaegyoon Ahn, Jonghwan Choi, et al.Scientific Reports|September 15, 2018
G2Vec: Distributed gene representations for identification of cancer prognostic genesJonghwan Choi, Ilhwan Oh, Sangmin Seo, et al.BMC Bioinformatics|November 9, 2021
Binding affinity prediction for protein-ligand complex using deep attention mechanism based on intermolecular interactionsSangmin Seo, Jonghwan Choi, Sanghyun Park, et al.Genome Biology and Evolution|September 27, 2024
A Chromosome-Scale and Annotated Reference Genome Assembly of Plecia longiforceps Duda, 1934 (Diptera: Bibionidae)Jonghwan Choi, Taemin Kang, Sun-Jae Park, et al.Journal of Computer-Aided Molecular Design|August 27, 2024
De novo drug design through gradient-based regularized search in information-theoretically controlled latent spaceHyosoon Jang, Sangmin Seo, Sanghyun Park, et al.Pageof 2