Jaeseong Jeong

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 12

Top Topics

Machine Learning

Artificial Intelligence

Endoplasmic Reticulum

Silver Nanoparticles

Top Venues

Chemical research in toxicology

Environmental science & technology

Environmental toxicology and chemistry

International journal of molecular sciences

This page only lists publications with an associated author ORCID identifier.

Publications

Elizabeth Dufourcq-Sekatcheff, Jaeseong Jeong, Jinhee Choi
Bridging the Gap Between Human Toxicology and Ecotoxicology Under One Health Perspective by a Cross-Species Adverse Outcome Pathway Network for Reproductive Toxicity. Environmental toxicology and chemistry (2024)
Donghyeon Kim, Jaeseong Jeong, Jinhee Choi
Identification of Optimal Machine Learning Algorithms and Molecular Fingerprints for Explainable Toxicity Prediction Models Using ToxCast/Tox21 Bioassay Data. ACS omega 9 (36) (2024)
Jaeseong Jeong, Donghyeon Kim, Jinhee Choi
Integrative Data Mining Approach: Case Study with Adverse Outcome Pathway Network Leading to Pulmonary Fibrosis. Chemical research in toxicology (2023)
Jaeseong Jeong, Donghyeon Kim, Jinhee Choi
Integrative Data Mining Approach: Case Study with Adverse Outcome Pathway Network Leading to Pulmonary Fibrosis. Chemical research in toxicology (2023)
Jaeseong Jeong, Donghyeon Kim, Jinhee Choi
Integrative Data Mining Approach: Case Study with Adverse Outcome Pathway Network Leading to Pulmonary Fibrosis. Chemical research in toxicology (2023)
Changhun Kim, Jaeseong Jeong, Jinhee Choi
Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data. Chemical research in toxicology 35 (12) (2022)
Changhun Kim, Jaeseong Jeong, Jinhee Choi
Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data. Chemical research in toxicology 35 (12) (2022)
Changhun Kim, Jaeseong Jeong, Jinhee Choi
Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data. Chemical research in toxicology 35 (12) (2022)
Jaeseong Jeong, Jinhee Choi
Artificial Intelligence-Based Toxicity Prediction of Environmental Chemicals: Future Directions for Chemical Management Applications. Environmental science & technology 56 (12) (2022)
Changhun Kim, Jaeseong Jeong, Jinhee Choi
Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data. Chemical research in toxicology 35 (12) (2022)
Jaeseong Jeong, Hunbeen Kim, Jinhee Choi
In Silico Molecular Docking and In Vivo Validation with Caenorhabditis elegans to Discover Molecular Initiating Events in Adverse Outcome Pathway Framework: Case Study on Endocrine-Disrupting Chemicals with Estrogen and Androgen Receptors. International journal of molecular sciences 20 (5) (2019)
Jaeseong Jeong, Jinhee Choi
Use of adverse outcome pathways in chemical toxicity testing: potential advantages and limitations. Environmental health and toxicology 33 (1) (2017)