| A roadmap for multi-omics data integration using deep learning M Kang, E Ko, TB Mersha Briefings in Bioinformatics 23 (1), bbab454, 2022 | 221 | 2022 |
| Integration of multi-omics data for integrative gene regulatory network inference N Zarayeneh, E Ko, JH Oh, S Suh, C Liu, J Gao, D Kim, M Kang International journal of data mining and bioinformatics 18 (3), 223-239, 2017 | 46 | 2017 |
| PathCNN: interpretable convolutional neural networks for survival prediction and pathway analysis applied to glioblastoma JH Oh, W Choi, E Ko, M Kang, A Tannenbaum, JO Deasy Bioinformatics 37 (Supplement_1), i443-i450, 2021 | 42 | 2021 |
| Prediction of Alzheimer’s disease-specific phospholipase c gamma-1 SNV by deep learning-based approach for high-throughput screening SH Kim, S Yang, KH Lim, E Ko, HJ Jang, M Kang, PG Suh, JY Joo Proceedings of the National Academy of Sciences 118 (3), e2011250118, 2021 | 23 | 2021 |
| Graph-theory based simplification techniques for efficient biological network analysis E Ko, M Kang, HJ Chang, D Kim 2017 IEEE Third International Conference on Big Data Computing Service and …, 2017 | 9 | 2017 |
| Cryptic mutations of PLC family members in brain disorders: recent discoveries and a deep-learning-based approach KH Lim, S Yang, SH Kim, E Ko, M Kang, JY Joo Brain 146 (4), 1267-1280, 2023 | 5 | 2023 |
| Fast and accurate machine learning-based malware detection via RC4 ciphertext analysis J Son, E Ko, UB Boyanapalli, D Kim, Y Kim, M Kang 2019 International Conference on Computing, Networking and Communications …, 2019 | 5 | 2019 |
| A lightweight and transparent compensation mechanism for fog-cloud storage framework D Kim, E Ko, J Son, Y Kim, J Seo 2018 IEEE Fourth International Conference on Big Data Computing Service and …, 2018 | 4 | 2018 |
| SPIN: sex-specific and pathway-based interpretable neural network for sexual dimorphism analysis E Ko, Y Kim, F Shokoohi, TB Mersha, M Kang Briefings in Bioinformatics 25 (4), bbae239, 2024 | | 2024 |