| 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 | 95 | 2018 |
| 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 | 58 | 2019 |
| Hi-lasso: High-dimensional lasso Y Kim, J Hao, T Mallavarapu, J Park, M Kang IEEE Access 7, 44562-44573, 2019 | 31 | 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 | 29 | 2018 |
| 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 | 22 | 2018 |
| Pathway-based deep clustering for molecular subtyping of cancer T Mallavarapu, J Hao, Y Kim, JH Oh, M Kang Methods 173, 24-31, 2020 | 19 | 2020 |
| Measuring income inequality based on unequally distributed income J Park, Y Kim, AJ Ju Journal of Economic Interaction and Coordination 16, 309-322, 2021 | 8 | 2021 |
| Dual‐Index Measurement Of Income Inequality J Park, YS Kim, S Heo Bulletin of Economic Research 70 (3), 277-284, 2018 | 6 | 2018 |
| 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 |
| R-pathcluster: Identifying cancer subtype of glioblastoma multiforme using pathway-based restricted boltzmann machine T Mallavarapu, Y Kim, JH Oh, M Kang 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 5 | 2017 |
| PASCL: Pathway-based Sparse Deep Clustering for Identifying Unknown Cancer Subtypes T Mallavarapu, J Hao, Y Kim, JH Oh, M Kang 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 2 | 2018 |
| Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data J Jo, S Jung, J Park, Y Kim, M Kang Plos one 17 (12), e0278570, 2022 | 1 | 2022 |
| Modelling the Failure Rate Function in Coverage and Software Reliability Growth JY Park, YS Kim, JH Park International Journal of Quality Innovation 5 (1), 110-121, 2004 | 1 | 2004 |
| A Coverage-Based Software Reliability Growth Model for Imperfect Fault Detection and Repeated Construct Execution JY Park, JH Park, YS Kim The KIPS Transactions: PartD 11 (6), 1287-1294, 2004 | 1 | 2004 |
| Modelling A Relationship Between Reliability and Software Coverage JY Park, YS Kim, JH Park International Journal of Reliability and Applications 4 (3), 131-139, 2003 | 1 | 2003 |
| An Input Domain-Based Software Reliability Growth Model JY Park, DW Seo, YS Kim The Transactions of the Korea Information Processing Society 7 (11), 3384-3393, 2000 | 1 | 2000 |
| New approach to measuring income inequality Y Kim, J Park, AJ Ju Heliyon, 2024 | | 2024 |
| An Input Domain-Based Software Reliability Growth Model In Imperfect Debugging Environment JY Park, YS Kim, YS Hwang The KIPS Transactions: PartD 9 (4), 659-666, 2002 | | 2002 |
| A Software Release Policy Assuring Reliability for Imperfect Debugging JY Park, YS Kim The Transactions of the Korea Information Processing Society 5 (5), 1225-1233, 1998 | | 1998 |
Mingon KangUniversity of Nevada, Las VegasVerified email at unlv.edu
