Eunyoung Kim

发表

Artificial Intelligence in Drug Discovery: A Comprehensive Review of Data-driven and Machine Learning Approaches

Hojung Nam, Hyunho Kim, Eunyoung Kim, 2020, Biotechnology and Bioprocess Engineering.

Anisotropic, Wrinkled, and Crack-Bridging Structure for Ultrasensitive, Highly Selective Multidirectional Strain Sensors

Haomin Chen, Jang‐Kyo Kim, Jinglei Yang, 2021, Nano-Micro Letters.

DeSIDE-DDI: interpretable prediction of drug-drug interactions using drug-induced gene expressions

Hojung Nam, Eunyoung Kim, 2022, Journal of Cheminformatics.

Rational Design of All Resistive Multifunctional Sensors with Stimulus Discriminability

Haomin Chen, Seokwoo Jeon, Jang‐Kyo Kim, 2021, Advanced Functional Materials.

Drug repositioning of herbal compounds via a machine-learning approach

Hojung Nam, Eunyoung Kim, A-sol Choi, 2019, BMC Bioinformatics.

Drug repositioning of herbal compounds via a machine-learning approach

Hojung Nam, Eunyoung Kim, A.-Sol Choi, 2019, BMC Bioinformatics.

Microbiome Preterm Birth DREAM Challenge: Crowdsourcing Machine Learning Approaches to Advance Preterm Birth Research

Kaitlin J. Flynn, N. Aghaeepour, G. Stolovitzky, 2023, medRxiv.

Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints

Hojung Nam, Eunyoung Kim, 2017, BMC Bioinformatics.

Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints

Hojung Nam, Eunyoung Kim, Hojung Nam, 2017, BMC Bioinformatics.

Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research

Kaitlin J. Flynn, Ester Pantaleo, N. Aghaeepour, 2023, Cell Reports Medicine.