Publications

The following are selected publications and please refer to my CV () for a complete list.

• K Gardiner, X Zhang, L Xing. BLESS: Bagged Logistic Regression for Biomarker Identification. Frontiers in Genetics, 2024.
• S You, L Xing, M Lesperance, Y Pan, X Zhang. Temporal and Spatial Variation Patterns of Domoic Acid along Canada’s Coast. Science of the Total Environment, 2024 (Accepted).
• S You, L Xing, M Lesperance, Y Pan, X Zhang. Longitudinal Study of Paralytic Shellfish Toxins along Canada’s Coast. Environmental Research, 2024.
• E Majd, L Xing, X Zhang. Segmentation of Patients with Small Cell Lung Cancer into Responders and Non-Responders Using the Optimal Cross-Validation Technique. BMC Medical Research Methodology, 2024 (Accepted).
• X Zhang, H Jia, L Xing, C Chen. Application of Group Sequential Methods to the 2-in-1 Design and Its Extensions for Interim Monitoring. Statistics in Biopharmaceutical Research, 2024, 16(1), 130-139.
• Y Hu, X Shao, L Xing, X Li, G Nonis, G Keolwyn, X Zhang, DD Sin. Single Cell Sequencing of Lung Macrophages and Monocytes Reveals Novel Therapeutic Targets in COPD. Cells, 2023, 12(24), 2771.
• X Zhang, X Huang, L Xing. ADSP: An Adaptive Sample Pooling Strategy for Diagnostic Testing. Journal of Biomedical Informatics, 2023.
• M Li, F Esfahani, L Xing, X Zhang. Predicting the Daily Counts of COVID-19 Infection Using Temporal Convolutional Networks. Journal of Global Health, 2023.
• X Zhang, H Jia, L Xing, C Chen. Application of group sequential methods to the 2-in-1 design and its extensions for interim monitoring. Statistics in Biopharmaceutical Research, 2023.
• X Ji, D Tsao, K Bai, M Tsao, L Xing, X Zhang. scAnnotate: An Automated Cell Type Annotation Tool for Single-Cell RNA-Sequencing Data. Bioinformatics Advance, 2023, Volume 3, Issue 1, vbad030.
• S You, X Huang, L Xing, M Lesperance, C LeBlanc, P Moccia, V Mercier, X Shao, Y Pan, X Zhang. Dynamics of Fecal Coliform Bacteria along Canada’s Coast. Marine Pollution Bulletin, 2023, 189:114712.
• X Zhang, Y Huang, K Xu, L Xing. Novel Modelling Strategies for High-Frequency Stock Trading Data. Financial Innovation, 2023, 9:39.
• X Cao, Y Dong, L Xing, X Zhang. A Genome-Wide Association Study of Dementia Using the Electronic Medical Record. BioMedInformatics, 2023, 3(1), 141-149.
• Y Dong, S Zhou, L Xing, Y Chen, Z Ren, Y Dong, X Zhang. Deep Learning Methods May Not Outperform Other Machine Learning Methods on Analyzing Genomic Studies. Frontiers in Genetics, 2022, 13:992070.
• L Xing, X Zhang, L Wang. Editorial: Statistical Data Science - Theory and Applications in Analyzing Omics Data. Frontiers in Applied Mathematics and Statistics, 2022.
• X Cao, L Xing, E Majd, H He, J Gu, X Zhang. A Systematic Evaluation of Supervised Machine Learning Algorithms for Cell Phenotype Classification Using Single-Cell RNA Sequencing Data. Frontiers in Genetics, 2021.
• Y Guo, F Esfahani, X Shao, V Srinivasan, A Thomo, L Xing, X Zhang. Integrative COVID-19 Biological Network Inference with Probabilistic Core Decomposition. Briefings in Bioinformatics, 2021.
• X Huang, X Shao, L Xing, Y Hu, DD Sin, X Zhang. The Impact of Early or Late Lockdowns on the Spread of COVID-19 in US Counties. EClinicalMedicine, 2021.
• O Alaqeeli, L Xing, X Zhang. Software Benchmark - Classification Tree Algorithms for Cell Atlases Annotation Using Single-Cell RNA-Sequencing Data. Microbiological Research, 2021, 12(2), 317-334.
• Y Lu, J Zhou, L Xing, X Zhang. The Optimal Design of Clinical Trials with Potential Biomarker Effects: A Novel Computational Approach. Statistics in Medicine, 2021, 40(7):1752-1766.
• L Xing, X Zhang, I Burstyn, P Gustafson. On logistic Box-Cox regression for flexibly estimating the shape and strength of exposure-disease relationships. The Canadian Journal of Statistics, 2020.
• K Xu, X Zheng, D Pan, L Xing, X Zhang. Stock Market Openness and Market Quality: Evidence from the Shanghai-Hong Kong Stock Connect Program. Journal of Financial Research, 2020.
• Y Xu, L Xing, J Su, X Zhang, W Qiu. Bayesian hierarchical models for SNP discovery from genome-wide association studies, a pseudo-supervised machine learning approach. Scientific Reports, 2019, 9, 13686.
• L Xing, M Lesperance, X Zhang. Simultaneous prediction of multiple outcomes using revised stacking algorithms. Bioinformatics, 2019, btz531.
• L Xing, I Burstyn, DB Richardson, P Gustafson. A comparison of Bayesian hierarchical modelling with group-based exposure assessment in occupational epidemiology. Statistics in Medicine, 2013, 32(21): 3686-99.

Conference Proceedings

• S You, X Huang, L Xing, Y Pan, X Zhang. (2022) Handling Sparse Longitudinal Data with Irregular Missing Data - Analysis of Fecal Coliform Bacteria Data. Accepted to IEEE CIBCB 2022, Ottawa, Canada.
• Y Guo, X Zhang, F Esfahani, V Srinivasan, A Thomo, L Xing. Multi-Stage Graph Peeling Algorithm for Probabilistic Core Decomposition. Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, November, Pages 532–539.