Drug-drug interaction analysis using heterogeneous biological information network. - Kyubum Lee; Sunwon Lee; Minji Jeon; Jaehoon Choi; Jaewoo Kang (BIBM, 2012)

BEReX: Biomedical Entity-Relationship eXplorer. - Minji Jeon; Sunwon Lee; Kyubum Lee; Aik Choon Tan; Jaewoo Kang (Bioinform., 2014)

DSigDB: drug signatures database for gene set analysis. - Minjae Yoo; Jimin Shin; Jihye Kim 004; Karen A. Ryall; Kyubum Lee; Sunwon Lee; Minji Jeon; Jaewoo Kang; Aik Choon Tan (Bioinform., 2015)

HiPub: translating PubMed and PMC texts to networks for knowledge discovery. - Kyubum Lee; Won-Ho Shin; Byounggun Kim; Sunwon Lee; Yonghwa Choi; Sunkyu Kim; Minji Jeon; Aik Choon Tan; Jaewoo Kang (Bioinform., 2016)

In silico drug combination discovery for personalized cancer therapy. - Minji Jeon; Sunkyu Kim; Sungjoon Park; Heewon Lee; Jaewoo Kang (BMC Syst. Biol., 2018)

BTNET : boosted tree based gene regulatory network inference algorithm using time-course measurement data. - Sungjoon Park; Jung Min Kim; Won-Ho Shin; Sung Won Han; Minji Jeon; Hyun Jin Jang; Ik-Soon Jang; Jaewoo Kang (BMC Syst. Biol., 2018)

ReSimNet: drug response similarity prediction using Siamese neural networks. - Minji Jeon; Donghyeon Park; Jinhyuk Lee; Hwisang Jeon; Miyoung Ko; Sunkyu Kim; Yonghwa Choi; Aik Choon Tan; Jaewoo Kang (Bioinform., 2019)

A Drug-Induced Liver Injury Prediction Model using Transcriptional Response Data with Graph Neural Network. - Doyeong Hwang; Minji Jeon; Jaewoo Kang (BigComp, 2020)

Can Language Models be Biomedical Knowledge Bases? - Mujeen Sung; Jinhyuk Lee; Sean S. Yi; Minji Jeon; Sungdong Kim; Jaewoo Kang (EMNLP (1), 2021)

Document Analysis of ECEP Longitudinal Data: A Case Study with Indiana. - Minji Jeon; Jacob Koressel; Anne T. Ottenbreit-Leftwich; Alan Peterfreund; Sarah Dunton; Jeffrey Xavier; Carol L. Fletcher; Rebecca Zarch; Maureen Biggers; Debra J. Richardson; Joshua Childs; Leigh Ann DeLyser; et al. (SIGCSE, 2021)

How do Elementary Students Conceptualize Artificial Intelligence? - Anne T. Ottenbreit-Leftwich; Krista D. Glazewski; Minji Jeon; Cindy E. Hmelo-Silver; Bradford W. Mott; Seung Y. Lee; James C. Lester (SIGCSE, 2021)

Drugmonizome and Drugmonizome-ML: integration and abstraction of small molecule attributes for drug enrichment analysis and machine learning. - Eryk Kropiwnicki; John Erol Evangelista; Daniel J. Stein; Daniel J. B. Clarke; Alexander Lachmann; Maxim V. Kuleshov; Minji Jeon; Kathleen M. Jagodnik; Avi Ma'ayan (Database J. Biol. Databases Curation, 2021)

Appyters: Turning Jupyter Notebooks into data-driven web apps. - Daniel J. B. Clarke; Minji Jeon; Daniel J. Stein; Nicole Moiseyev; Eryk Kropiwnicki; Charles Dai; Zhuorui Xie; Megan L. Wojciechowicz; Skylar Litz; Jason Hom; John Erol Evangelista; Lucas Goldman; et al. (Patterns, 2021)

Crowdsourced identification of multi-target kinase inhibitors for RET- and TAU- based disease: The Multi-Targeting Drug DREAM Challenge. - Zhaoping Xiong; Minji Jeon; Robert J. Allaway; Jaewoo Kang; Donghyeon Park; Jinhyuk Lee; Hwisang Jeon; Miyoung Ko; Hualiang Jiang; Mingyue Zheng; Aik Choon Tan; Xindi Guo; et al. (PLoS Comput. Biol., 2021)

PrimaryAI: Co-Designing Immersive Problem-Based Learning for Upper Elementary Student Learning of AI Concepts and Practices. - Krista D. Glazewski; Anne T. Ottenbreit-Leftwich; Katie Jantaraweragul; Minji Jeon; Cindy E. Hmelo-Silver; J. Adam Scribner; Seung Y. Lee; Bradford W. Mott; James C. Lester (ITiCSE (2), 2022)

Principles for AI Education for Elementary Grades Students. - Anne T. Ottenbreit-Leftwich; Krista D. Glazewski; Minji Jeon; Katie Jantaraweragul; Cindy E. Hmelo-Silver; J. Adam Scribner; Seung Y. Lee; Bradford W. Mott; James C. Lester (ITiCSE (2), 2022)

Transforming L1000 profiles to RNA-seq-like profiles with deep learning. - Minji Jeon; Zhuorui Xie; John Erol Evangelista; Megan L. Wojciechowicz; Daniel J. B. Clarke; Avi Ma'ayan (BMC Bioinform., 2022)

SigCom LINCS: data and metadata search engine for a million gene expression signatures. - John Erol Evangelista; Daniel J. B. Clarke; Zhuorui Xie; Alexander Lachmann; Minji Jeon; Kerwin Chen; Kathleen M. Jagodnik; Sherry L. Jenkins; Maxim V. Kuleshov; Megan L. Wojciechowicz; Stephan C. Schürer; Mario Medvedovic; et al. (Nucleic Acids Res., 2022)

Is Elementary AI Education Possible? - Anne T. Ottenbreit-Leftwich; Krista D. Glazewski; Cindy E. Hmelo-Silver; Katie Jantaraweragul; Minji Jeon; Srijita Chakraburty; J. Adam Scribner; Seung Y. Lee; Bradford W. Mott; James C. Lester (SIGCSE (2), 2023)

Co-Attention Graph Pooling for Efficient Pairwise Graph Interaction Learning. - Junhyun Lee; Bumsoo Kim; Minji Jeon; Jaewoo Kang (IEEE Access, 2023)

lncHUB2: aggregated and inferred knowledge about human and mouse lncRNAs. - Giacomo B. Marino; Megan L. Wojciechowicz; Daniel J. B. Clarke; Maxim V. Kuleshov; Zhuorui Xie; Minji Jeon; Alexander Lachmann; Avi Ma'ayan (Database J. Biol. Databases Curation, 2023)

Lessons Learned for AI Education with Elementary Students and Teachers. - Anne T. Ottenbreit-Leftwich; Krista D. Glazewski; Minji Jeon; Katie Jantaraweragul; Cindy E. Hmelo-Silver; J. Adam Scribner; Seung Y. Lee; Bradford W. Mott; James C. Lester (Int. J. Artif. Intell. Educ., 2023)

LLaVA-docent: Instruction tuning with multimodal large language model to support art appreciation education. - Unggi Lee; Minji Jeon; Yunseo Lee; Gyuri Byun; Yoorim Son; Jaeyoon Shin; Hongkyu Ko; Hyeoncheol Kim (Comput. Educ. Artif. Intell., 2024)

Dr.Emb Appyter: A web platform for drug discovery using embedding vectors. - Songhyeon Kim; Hyunsu Bong; Minji Jeon (J. Comput. Chem., 2024)

LLaVA-Docent-V2: Improving Data Quality and Pedagogical Data Generation to Train Large Multimodal Models for Art Appreciation Education. - Unggi Lee; Yoorim Son; Jaeyoon Shin; Gyuri Byun; Yunseo Lee; Junbo Koh; Minji Jeon; Hyeoncheol Kim (ITS (2), 2025)