Feature selection for polygenic risk scores using genetic algorithm and network science Z Sha, T Hu, Y Chen 2021 IEEE Congress on Evolutionary Computation (CEC), 802-808, 2021 | 5 | 2021 |
Analyzing the Robustness of Open Source Software Ecosystems to the Loss of Contributors: A Case Study Z Sha, A Petrov, Y Tian, T Hu Available at SSRN 4082801, 0 | 1 | |
Distinct Network Patterns Emerge from Cartesian and XOR Epistasis Models: A Comparative Network Science Analysis Z Sha, P Freda, P Bhandary, A Ghosh, N Matsumoto, J Moore, T Hu | | 2024 |
How complex is the microarray dataset? A novel data complexity metric for biological high-dimensional microarray data Z Sha, L Zhu, Z Jiang, Y Chen, T Hu arXiv preprint arXiv:2308.06430, 2023 | | 2023 |
NSPA: characterizing the disease association of multiple genetic interactions at single-subject resolution Z Sha, Y Chen, T Hu Bioinformatics Advances 3 (1), vbad010, 2023 | | 2023 |
Genetic heterogeneity analysis using genetic algorithm and network science Z Sha, Y Chen, T Hu Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | | 2022 |
Depth--A Novel Data Complexity Metric for Biological High-Dimensional Data Z Sha, L Zhu, Z Jiang, Y Chen, T Hu Available at SSRN 4679655, 0 | | |
Translating Higher-Order Modal Logic from RuleML to TPTP HBCBM Luan, Z Sha | | |