A systematic evaluation of supervised machine learning algorithms for cell phenotype classification using single-cell RNA sequencing data X Cao, L Xing, E Majd, H He, J Gu, X Zhang Frontiers in Genetics 13, 836798, 2022 | 16 | 2022 |
Automobile insurance claim occurrence prediction model based on ensemble learning J Si, H He, J Zhang, X Cao Applied Stochastic Models in Business and Industry 38 (6), 1099-1112, 2022 | 8 | 2022 |
Views on GWAS statistical analysis X Cao, L Xing, H He, X Zhang Bioinformation 16 (5), 393, 2020 | 8 | 2020 |
A systematic evaluation of methods for cell phenotype classification using single-cell RNA sequencing data X Cao, L Xing, E Majd, H He, J Gu, X Zhang arXiv preprint arXiv:2110.00681, 2021 | 4 | 2021 |
A genome-wide association study of dementia using the electronic medical record X Cao, Y Dong, L Xing, X Zhang BioMedInformatics 3 (1), 141-149, 2023 | 2 | 2023 |
Novel machine learning model for predicting cancer drugs’ susceptibilities and discovering novel treatments X Cao, L Xing, H Ding, H Li, Y Hu, Y Dong, H He, J Gu, X Zhang Journal of Biomedical Informatics 161, 104762, 2025 | | 2025 |
scAGCI: an anchor graph-based method for cell clustering from integrated scRNA-seq and scATAC-seq data Y Dong, J Zhang, J Shi, Y Hu, X Cao, L Xing, Y Dong, X Zhang bioRxiv, 2024.10. 20.619321, 2024 | | 2024 |