| 科研成果 |
B. Zhu, G. Hu, X. Fan*, Q. Li*, Bayesian Nonparametric Factor Analysis model with Unknown number of clusters for Spatially Resolved Transcriptomics Data. Journal of the American Statistical Association, in revision <br> <br> X. Feng#, B. Zhu#, D. Chen, G. Xiao, and Q. Li*, "Bayesian inference for layered point pattern data with applications to oral tissue pathology images," Biostatistics, in revision <br> <br> B. Zhu#, T. Bedi#, M. L Neugent, K. C Lutz, N. J De Nisco, Q. Li*. Bayesian modeling of co-occurrence microbial interaction networks. (2026) Journal of the Royal Statistical Society: Series C, qlag043 <br> <br> B. Zhu, A. Cassess, M. Vannucci, M. Guindani, Q. Li*. BISON: Bi-clustering of spatial omics data with feature selection. Bioinformatics, 2025, 41 (9), btaf495. <br> <br> B.M. Brakefield, H. Li, B. Zhu, K.W. Jin, S.E. McKeown, Q. Li. Bayesian Clustering of n-gons. Bayesian Analysis, 2025, 1 (1), 1-26 <br><br>
M. Li#, B. Zhu#, C. Meng, and X. Fan. Double optimal transport for gene regulatory network reconstruction with unpaired samples. Bioinformatics, 2025, 41 (8), btaf352. <br><br>
Z. Zhang#, B. Zhu#, Yongyi Luo, ..., and Xiaodan Fan. Direct Inference of Haplotypes from Sequencing Data. Bioinformatics Advances, 2025, 5 (1), vbaf195. <br><br>
B. Zhu, G. Hu, L. Xu, X. Fan*, Q. Li*. Bayesian Nonparametric Clustering with Feature Selection for Spatially Resolved Transcriptomics Data. The Annals of Applied Statistics, 2025, 19(2), 1028-1047. <br><br>
B. Zhu, Z. Zhang, S. Y. Leung, X. Fan*, NetMIM: Network-based multi-omics integration with block missingness for biomarker selection and disease outcome prediction. Briefings in Bioinformatics, 2024, 25 (5), bbae454. <br><br> Y. Guo, B. Zhu, C. Tang, R. Rong, G. Xiao, L. Xu, and Q. Li*, "BayeSMART: Bayesian clustering of multi-sample spatially resolved transcriptomics data," Briefings in Bioinformatics, 2024, 25 (6), bbae524 <br><br>
H. Li, B. Zhu, X. Jiang, L. Guo, Y. Xie, L. Xu, and Q. Li*, An interpretable Bayesian clustering approach with feature selection for analyzing spatially resolved transcriptomics data. Biometrics, 2024, 80 (3), ujae066. <br><br>
X. Jiang, S. Wang, B. Zhu, L. Guo, Z. Wen, L. Jia, L. Xu, G. Xiao*, and Q. Li*. Integrating image and molecular profiles for spatial transcriptomics analysis. Genome Biology, 2024, 25, 147. <br> |
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