Graph-Theory Based Simplification Techniques for Efficient Biological Network Analysis. - Euiseong Ko; Mingon Kang; Hyung Jae Chang; Donghyun Kim 001 (BigDataService, 2017)

Integration of multi-omics data for integrative gene regulatory network inference. - Neda Zarayeneh; Euiseong Ko; Jung Hun Oh; Sang C. Suh; Chunyu Liu 001; Jean Gao; Donghyun Kim 001; Mingon Kang (Int. J. Data Min. Bioinform., 2017)

A Lightweight and Transparent Compensation Mechanism for Fog-Cloud Storage Framework. - Donghyun Kim 001; Euiseong Ko; Junggab Son; Yeojin Kim; Jungtaek Seo (BigDataService, 2018)

Fast and Accurate Machine Learning-based Malware Detection via RC4 Ciphertext Analysis*. - Junggab Son; Euiseong Ko; Uday Bhaskar Boyanapalli; Donghyun Kim 001; Youngsoon Kim; Mingon Kang (ICNC, 2019)

PathCNN: interpretable convolutional neural networks for survival prediction and pathway analysis applied to glioblastoma. - Jung Hun Oh; Wookjin Choi; Euiseong Ko; Mingon Kang; Allen R. Tannenbaum; Joseph O. Deasy (Bioinform., 2021)

A roadmap for multi-omics data integration using deep learning. - Mingon Kang; Euiseong Ko; Tesfaye B. Mersha (Briefings Bioinform., 2022)

SPIN: sex-specific and pathway-based interpretable neural network for sexual dimorphism analysis. - Euiseong Ko; Youngsoon Kim; Farhad Shokoohi; Tesfaye B. Mersha; Mingon Kang (Briefings Bioinform., 2024)