Publications

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

• M Li, F Esfahani, L Xing, X Zhang. Predicting the daily counts of COVID-19 infection using temporal convolutional networks. Journal of Global Health.(Published),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(Accepted), 2023
• X Ji, D Tsao, K Bai, M Tsao, L Xing, and X Zhang. scAnnotate: an automated cell type annotation tool for single-cell RNA-sequencing data. Bioinformatics Advance. 2023, Volume 3, vbad030.
Software: scAnnotate: an automated cell type annotation tool for single-cell RNA-sequencing data. CRAN Link
• 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, (IF: 7.001)
Software: Shinny app: https://opms.uvic.ca/
• X Zhang, Y Huang, K Xu, L Xing.Novel Modelling Strategies for High-frequency Stock Trading Data. Financial Innovation ,2023, 9:39.5.(IF: 6.793)
• 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, and X Zhang. Deep Learning Methods May Not Outperform Other Machine Learning Methods on Analyzing Genomic Studies. Frontiers in Genetics, 2022, 13:992070. DOI:10.3389/fgene.2022.992070
• L Xing, X Zhang, L Wang (2022) Editorial: Statistical Data Science -Theory and Applications in Analyzing Omics Data. Accepted Editorial Article, Front. Appl. Math. Stat. - Statistics and Probability. DOI: 10.3389/fams.2022.967585.
• X Cao, L Xing, E Majd, H He, J Gu, X Zhang. (2021) A Systematic Evaluation of Supervised Machine Learning Algorithms for Cell Phenotype Classification Using Single-Cell RNA Sequencing Data. Front. Genet., 23 February.
• Y Guo, F Esfahani, X Shao, V Srinivasan, A Thomo, L Xing, X Zhang. (2021) Integrative COVID-19 Biological Network Inference with Probabilistic Core Decomposition. Briefings in Bioinformatics. Nov 12:bbab455. doi: 10.1093/bib/bbab455.
Software: COVIDnetwork (2021): integrative COVID-19 biological network inference with probabilistic core decomposition. GitHub Link
• X Huang, X Shao, L Xing, E Majd, H He, J Gu, X Zhang. (2021) A Systematic Evaluation of Supervised Machine Learning Algorithms for Cell Phenotype Classification Using Single-Cell RNA Sequencing Data. Front. Genet., 23 February.
Software: COVID.FPCA (2021): R code used in our 2021 publication about Data analysis of COVID infection trajectories. GitHub Link
• O Alaqeeli, L Xing, X Zhang. (2021) Software Benchmark - classification tree algorithms for cell atlases annotation using Single-cell RNA-sequencing data.Microbiol. Res. 12(2), 317-334.
• Y Lu, J Zhou, L Xing, X Zhang (2021) The Optimal Design of Clinical Trials with Potential Biomarker Effects, A Novel Computational Approach. Statistics in Medicine. Mar 30;40(7):1752-1766. doi: 10.1002/sim.8868. Epub 2021 Jan 11.
Software: DesignCTPB (2021): design clinical trials with potential biomarker effect. CRAN Link
• L Xing, X Zhang, I Burstyn, P Gustafson (2020) On logistic Box-Cox regression for flexibly estimating the shape and strength of exposure-disease relationships.The Canadian Journal of Statistics. December 17.
Software: lboxcox: implementation of logistic Box-Cox regression. CRAN Link
• K Xu, X Zheng, D Pan, L Xing, X Zhang (2020) Stock Market Openness and Market Quality: Evidence from the Shanghai-Hong Kong Stock Connect Program.Journal of Financial Research. April 7.
• Y Xu, L Xing, J Su, X Zhang, W Qiu (2019)Bayesian hierarchical models for SNP discovery from genome-wide association studies, a pseudo-supervised machine learning approach. Scientific Reports 9, 13686. doi:10.1038/s41598-019-50229-6.
Software: GWASbyCluster (2019): identifying disease-associated significant SNPs using clustering approach. CRAN Link
• L Xing, M Lesperance, X Zhang (2019) Simultaneous prediction of multiple outcomes using revised stacking algorithms. Bioinformatics.Jul 2; btz531.
Software: MTPS: multi-task prediction using stacking algorithms. CRAN Link

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. 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Ottawa, ON, Canada, 2022, pp. 1-6, doi: 10.1109/CIBCB55180.2022.9863011.
• Y Guo, X Zhang, F Esfahani, V Srinivasan, A Thomo, L Xing. (2021) 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.