* Corresponding Author(s), † Equal contribution
<< Ongoing research >>
SynG2Net: Predicting synergistic anticancer drug combination using graph transformer network and gating mechanism (Under Revision at IEEE TCBB)
Interpretable Prediction of Drug Sensitivity via Transfer Learning on Biological Graphs (Under Revision at CSBJ)
Weave Mamba Fusion: Global Cross-Scale Interaction for Lightweight Face Detection (Submitted to ACCV conference)
<< Publication >>
Jung J*, Yoo S*: NCES: A Cell-Specific Network-Augmented Essentiality Framework for Cancer Therapeutic Target Discovery. Computational and Structural Biotechnology Journal (2026)
Ahn H, Kim S, Jung J*, Park C*: Discovering Vitamin D Deficiency-Associated Factors in Korean Adults Using KNHANES Data Based on an Integrated Analysis of Machine Learning and Statistical Techniques. Nutrients (2025)
Kim D, Jung J*, Kim J*: FeatherFace: Robust and Lightweight Face Detection Through Optimal Feature Integration. Electronics (2025)
Jung J*, Kim D, Hwang I: Exploring Predictive Factors for Heart Failure Progression in Hypertensive Patients Based on Medical Diagnosis Data from the MIMIC-IV Database. Bioengineering (2024)
Hwang Y, Kim Y, Min J, Jung J*: Identification of novel membrane markers in circulating tumor cells of mesenchymal state in breast cancer. Biochemistry and Biophysics Reports (2024)
Jung J*, Yoo S*: Identification of Breast Cancer Metastasis Markers from Gene Expression Profiles Using Machine Learning Approaches. Genes (2023)
Jung J, Hwang Y, Ahn H, Lee S*, Yoo S*: Precise Characterization of Genetic Interactions in Cancer via Molecular Network Refining Processes. International Journal of Molecular Sciences (2021)
Jung J*: Characterizing therapeutic signatures of transcription factors in cancer by incorporating profiles in compound treated cells. Bioinformatics (2021).
Yun H†, Kim D†, Lee E, Jung J*, Yoo S*: Analysis of the Effects of Nutrient Intake and Dietary Habits on Depression in Korean Adults. Nutrients (2021).
Baek J, Jung J*: A Model-Free Control Scheme for Attitude Stabilization of Quadrotor Systems. Electronics (2020).
Park S*, Jung J, Park J, Lee J, Park B, Kim H, Park J, Chae W, Jeong J, Choi S, Baek J: SWATH-MS analysis of cerebrospinal fluid to generate a robust battery of biomarkers for Alzheimer’s disease. Scientific Reports (2020).
Tak Y, Jeong H, Jung J*: Performance comparison among deep neural networks consisting of various constituents. Journal of the Korean Data Analysis Society (2019).
Jung J, Kang Y, Paik H, Kwon M, Yu H, Lee D*: Deconvoluting essential gene signatures for cancer growth from genomic expression profiles in compound-treated cells. Bioinformatics (2019).
Jung J, Kwon M, Bae S, Yim S, Lee D*: Petri net-based prediction of therapeutic targets that recover abnormally phosphorylated proteins in muscle atrophy. BMC systems biology (2018).
Kwon M , Jung J, Yu H, Lee D*: HIDEEP: a systems approach to predict hormone impacts on drug efficacy based on effect paths. Scientific Reports (2017).
Yu H† Jung J†, Yoon S, Kwon M, Bae S, Yim S, Lee J, Kim S, Kang Y, Lee D*: CODA: Integrating multi-level context-oriented directed associations for analysis of drug effects. Scientific Reports (2017).
Yu H, Choo S, Park J, Jung J, Kang Y, Lee D*: Prediction of drugs having opposite effects on disease genes in a directed network. BMC systems biology (2016).
Yoon S, Jung J, Yu H, Kwon M, Choo S, Park K, Jang D, Kim S, Lee D*: Context-based resolution of semantic conflicts in biological pathways. BMC medical informatics and decision making (2015).
Kim C, Yang H, Fukushima Y, Saw PE, Lee J, Park J, Park I, Jung J, Kataoka H, Lee D*, Heo WD, Kim I, Jon S, Adams RH, Nishikawa S, Uemura A, Koh G*: Vascular RhoJ is an effective and selective target for tumor angiogenesis and vascular disruption. Cancer Cell (2014).
Jung J, Lee D*: Inferring disease association using clinical factors in a combinatorial manner and their use in drug repositioning. Bioinformatics (2013).
