| Feature selection may improve deep neural networks for the bioinformatics problems Z Chen, M Pang, Z Zhao, S Li, R Miao, Y Zhang, X Feng, X Feng, Y Zhang, ... Bioinformatics 36 (5), 1542-1552, 2020 | 87 | 2020 |
| Integration of 24 feature types to accurately detect and predict seizures using scalp EEG signals Y Zhang, S Yang, Y Liu, Y Zhang, B Han, F Zhou Sensors 18 (5), 1372, 2018 | 55 | 2018 |
| Selection of features for patient-independent detection of seizure events using scalp EEG signals S Yang, B Li, Y Zhang, M Duan, S Liu, Y Zhang, X Feng, R Tan, L Huang, ... Computers in biology and medicine 119, 103671, 2020 | 42 | 2020 |
| ELMO: An efficient logistic regression-based multi-omic integrated analysis method for breast cancer intrinsic subtypes Y Zhang, R Shi, C Chen, M Duan, S Liu, Y Ren, L Huang, X Dai, F Zhou IEEE Access 8, 5121-5130, 2019 | 6 | 2019 |
| BioDog, biomarker detection for improving identification power of breast cancer histologic grade in methylomics Y Zhang, C Chen, M Duan, S Liu, L Huang, F Zhou Epigenomics 11 (15), 1717-1732, 2019 | 6 | 2019 |
| Gender specificity improves the early-stage detection of clear cell renal cell carcinoma based on methylomic biomarkers Y Ren, X Feng, X Xia, Y Zhang, W Zhang, J Su, Z Wang, Y Xu, F Zhou Biomarkers in Medicine 12 (6), 607-618, 2018 | 4 | 2018 |
| A Prism Vote method for individualized risk prediction of traits in genotype data of Multi-population X Xia, Y Zhang, R Sun, Y Wei, Q Li, MKC Chong, WKK Wu, BCY Zee, ... PLoS Genetics 18 (10), e1010443, 2022 | | 2022 |
| A Prism Vote Framework Enhances Prediction Accuracy of the Polygenic Risk Score on the Alzheimer's Disease Genome Data of the UK Biobank Y Zhang, X Xia, Q Li, R Sun, MKC Chong, BCY Zee, MH Wang GENETIC EPIDEMIOLOGY 45 (7), 804-805, 2021 | | 2021 |
