| Inferring causal molecular networks: empirical assessment through a community-based effort S Hill, L Heiser, ..., D Kim, M Kang, J Gao, and et al. Nature Methods, 2016 | 260 | 2016 |
| 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 |
| PASNet: pathway-associated sparse deep neural network for prognosis prediction from high-throughput data J Hao, Y Kim, TK Kim, M Kang BMC bioinformatics 19, 1-13, 2018 | 118 | 2018 |
| PAGE-Net: interpretable and integrative deep learning for survival analysis using histopathological images and genomic data J Hao, SC Kosaraju, NZ Tsaku, DH Song, M Kang Pacific Symposium on Biocomputing 2020, 355-366, 2019 | 95 | 2019 |
| Interpretable deep neural network for cancer survival analysis by integrating genomic and clinical data J Hao, Y Kim, T Mallavarapu, JH Oh, M Kang BMC medical genomics 12, 1-13, 2019 | 76 | 2019 |
| Deep-Hipo: Multi-scale receptive field deep learning for histopathological image analysis SC Kosaraju, J Hao, HM Koh, M Kang Methods 179, 3-13, 2020 | 62 | 2020 |
| 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 |
| Hi-lasso: High-dimensional lasso Y Kim, J Hao, T Mallavarapu, J Park, M Kang IEEE Access 7, 44562-44573, 2019 | 38 | 2019 |
| Cox-PASNet: pathway-based sparse deep neural network for survival analysis J Hao, Y Kim, T Mallavarapu, JH Oh, M Kang 2018 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2018 | 35 | 2018 |
| DoT-Net: Document layout classification using texture-based CNN SC Kosaraju, M Masum, NZ Tsaku, P Patel, T Bayramoglu, G Modgil, ... 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 33 | 2019 |
| DiffGRN: differential gene regulatory network analysis Y Kim, J Hao, Y Gautam, TB Mersha, M Kang International journal of data mining and bioinformatics 20 (4), 362-379, 2018 | 26 | 2018 |
| Investigation of impact factors for various performances of passive UHF RFID system JS Choi, M Kang, R Elmasri, DW Engels 2011 IEEE International Conference on RFID-Technologies and Applications …, 2011 | 26 | 2011 |
| Pathway-based deep clustering for molecular subtyping of cancer T Mallavarapu, J Hao, Y Kim, JH Oh, M Kang Methods 173, 24-31, 2020 | 25 | 2020 |
| 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 |
| Interpretable machine learning in bioinformatics. YR Cho, M Kang Methods (San Diego, Calif.) 179, 1-2, 2020 | 20 | 2020 |
| Cascade classification with adaptive feature extraction for arrhythmia detection J Park, M Kang, J Gao, Y Kim, K Kang Journal of medical systems 41, 1-12, 2017 | 19 | 2017 |
| Nearest neighbor search with locally weighted linear regression for heartbeat classification J Park, MZA Bhuiyan, M Kang, J Son, K Kang Soft Computing 22, 1225-1236, 2018 | 18 | 2018 |
| Inferring disease associations of the long non-coding RNAs through non-negative matrix factorization AK Biswas, M Kang, DC Kim, CHQ Ding, B Zhang, X Wu, JX Gao Network Modeling Analysis in Health Informatics and Bioinformatics 4, 1-17, 2015 | 18 | 2015 |
| Deep learning-based framework for slide-based histopathological image analysis S Kosaraju, J Park, H Lee, JW Yang, M Kang Scientific Reports 12 (1), 19075, 2022 | 16 | 2022 |
Youngsoon kimKennesaw state UniversityVerified email at kennesaw.edu