Publications

Peer-reviewed Publications

# co-first author, $^*$ corresponding author. $^\dagger$ Idea/evaluation contribution, $^\ddagger$ software contribution, Statistics contribution.

  1. Xinyi Xu, Xiaokang Yu, Gang Hu, Kui Wang, Jingxiao Zhang, Xiangjie Li(*). Propensity Score Matching enables batch effect corrected imputation in single-cell RNA-seq analysis. Accepted by Briefings in Bioinformatics (IF=11.622).
  2. Shi Chen (#), Liang Chen(#), Ardan M. Saguner, Kai Chen, Deniz Akdis, Alessio Gasperetti, Corinna Brunckhorst, Hanwei Tand, Guangran Guo, Man Rao, Xiangjie Li (¶), Firat Duru(*), Jiangping Song(*), Shengshou Hu(*).(2022). Novel Risk Prediction Model to Determinie Adverse Heart Failure Outcomes in Arrhythmogenic Right Ventricular Cardiomyopathy. accepted by JAHA: Journal of the American Heart Association (IF=5.51, Q1)
  3. Jie Ren(#), Yuze Zhang(#), Shishi Liu, Xiangjie Li(*), Xiaogang Sun(*).(2021).Detailed Analyses of the Expression Patterns of Potential Severe Acute Respiratory Syndrome Coronavirus 2 Receptors in the Human Heart Using Single-Nucleus RNA-sequencing. accepted by frontiers in Cardiovascular Medicine (IF=4.79, Q1)
  4. Yuan Chang(#), Xiangjie Li(#), Qi Cheng(#), Yiqing Hu(#) ,Xiao Chen, Xiumeng Hua, Xuexin Fan, Menghao Tao, Jiangping Song (*), Shengshou Hu (*). Single-cell landscape of immune microenvironment during acute rejection in heart transplantation, accepted by Basis Research in Cardiology (IF=15.48, Q1).
  5. Jian Hu, Xiangjie Li $^{(\dagger)}$, Kyle Coleman, Amelia Schroeder, Nan Ma, David J. Irwin, Edward B. Lee, Russell T. Shinohara and Mingyao Li.(2021).SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network. Nat Methods,18:1342-1351. https://doi.org/10.1038/s41592-021-01255-8 (IF=28.54,Q1).
  6. Jie Ren(#), Ningning Zhang(#), Xiangjie Li(¶), Xiaogang Sun, Jinagping Song (*).(2021). Identification of reference genes for gene expression studies among different developmental stages of murine hearts. BMC Developmental Biology.21:13. https://doi.org/10.1186/s12861-021-00244-6 (IF=1.9, Q3).
  7. Hang Hu, Zhong Li(*) ,Xiangjie Li$^{(\ddagger)}$,Minzhe Yu adn Xiutao Pan.(2021) ScCAEs: deep clustering of single-cell RNA-seq via convolutional autoencoder embedding and soft K-means. Breifings in Bioinformatics, bbab321, https://doi.org/10.1093/bib/bbab321 (IF=11.62, Q1).
  8. Justin Lakkis, David Wang, Yuanchao Zhang, Gang Hu, Kui Wang, Huize Pan, Lyle Ungar, Muredach P. Reilly, Xiangjie Li(*) , Mingyao Li(*) . A joint deep learning model for simultaneous batch effect correction, denoising and clustering in single-cell transcriptomics. Published online in Genome Research. https://genome.cshlp.org/content/early/2021/05/25/gr.271874.120.abstract (IF=9.04, Q1).
  9. Xiangjie Li , Kui Wang, Yafei Lyu, Jingxiao Zhang, Dwight Stambolian,Katalin Susztak, Muredach P. Reilly, Gang Hu (*) and Mingyao Li (*) . (2020). Deep learning enables accurate clustering and batch effect removal in single-cell RNA-seq. Nature Communications 11, 2338 (2020). https://eleozzr.github.io/desc (IF=14.92, Q1).
  10. Liang Chen(#), Xiangjie Li (#) , Mingquan Chen, Yi Feng and Chenglong Xiong(*). (2020). The ACE2 expression in human heart indicates new potential mechanism of heart injury among patients infected with SARS-CoV-2. Cardiovascular Research. 116(6): 1097–1100.(ESI Hot Papers and ESI Highly Cited Papers, cited 659 times, IF=10.787, Q1)
  11. Mengmeng Li(#), Liang chen(#), Jingxiao Zhang, Chenglong Xiong(*) and Xiangjie Li(*) . (2020) The SARS-CoV-2 receptor ACE2 expression of maternal-fetal interface and fetal organs by single-cell transcriptome study. Plos One. 15(4):e0230295. (ESI Highly Cited Papers, cited 240 times, IF=3.24, Q1)
  12. Jie Ren(#), Liang Chen(#), Ningning Zhang, Xiao Chen, Qian Zhao, Kai Chen, Xiangjie Li(¶), Frank Ruschitzka, Firat Duru(*) and Jiangping Song(*). (2020). Plasma testosterone and arrhythmic events in male patients with arrhythmogenic right ventricular cardiomyopathy. ESC Heart Failure. 7(4): 1547–1559.
  13. Jian Hu, Xiangjie Li, Gang Hu, Yafei Lyu, Katalin Susztak and Mingyao Li(*).(2020). Iterative transfer learning with neural network for clustering and cell type classification in single-cell RNA-seq analysis. Nature Machine Intelligence. https://doi.org/10.1038/s42256-020-00233-7 (IF=16.65, Q1).
  14. Rou Zhong, Xiangjie Li$^{(\dagger)}$, Jingixao Zhang(*). (2021). Model-free robust conditional independence feature screening.Journal of Applied Statistics and Management (In Chinese). https://doi.org/10.13860/j.cnki.sltj.20200619-002 .
  15. Xinyi Xu, Xiangjie Li$^{(\dagger)}$, Jingxiao Zhang(*). (2020). Regularization methods for high-dimensional sparse control function models. Journal of Statistical Planning and Inference. 206:111-126
  16. Shishi Liu, Xiangjie Li$^{(\dagger)}$, Jingixao Zhang(*).(2020). Ultrahigh dimensional feature screening for additive model with multivariate response. Journal of Statistical Computation and Simulation. 90(5): 775-799.
  17. Xiangjie Li, Jingxiao Zhang(*). (2020). Sufficient dimension folding via tensor inverse regression. Journal of Statistical Computation and Simulation. 90(8):1413-1429.
  18. Xiangjie Li, Xuejun Ma, Jingxiao Zhang(*). (2018). Conditional quantile correlation screening procedure for ultrahigh-dimensional varying coefficient models. Journal of Statistical Planning and Inference. 197:69-92.
  19. Xinyi Xu, Xiangjie Li$^{(\dagger)}$, Jingixiao Zhang(*).(2018). Sufficient dimension reduction and prediction through cumulative slicing PFC. Journal of Statistical Computation and Simulation.88(6):1172-1190.
  20. Xiangjie Li, Yanyan Wu, Jingxiao Zhang (*). (2018). Robust dimension reduction method based on sliced inverse regression. Statistical Research (In Chinese), 5(7): 115-124.
  21. Xiangjie Li, Jingxiao Zhang(*). (2018). Robust rank conditional feature screening for ultrahigh dimensional data. Statistics & Information Forum (In Chinese), 33(4): 6-12.
  22. Xiangjie Li, Xuejun Ma and Jingxiao Zhang(*). (2017). Robust feature screening for varying coefficient models via quantile partial correlation. Metrika, 80(1): 17-49.
  23. Xiangjie Li, Lei Wang and Jingxiao Zhang(*). (2017). A model-free feature screening for ultrahigh-dimensional data based on kernel density estimation. Journal of Statistical Computation and Simulation. 87(12): 2450-2468.
  24. Jingxiao Zhang(*,#), Xiangjie Li(#), Haiming Guo. (2016). Robust variable screening for ultrahigh dimensional. Statistics & Information Forum (In Chinese), 32(4): 9-12.

Papers in preparation

  1. Zishu Zhan, Xiangjie Li(*), Jingxiao Zhang(*). Projective resampling imputation estimation method for missing covariates problems. Under review
  2. QUEST:A Quadruplet unified framework enables analysis of scRNA-seq and Spatial Resolved Transcriptomic. In preparation
  3. scDML:Batch Alignment of single-cell transcriptomics data using Deep Metric Learning. In preparation
  4. Jie Ren(#), Xiangjie Li(#), Xiao chen, Ningning Zhang, Xiaogang Sun, Jiangping Song(*) and Shengshou Hu (*). Single-Cell Analysis of the Human Postnatal Myocardium Revealed an Intervention Mechanism for Congenitally Corrected Transposition of the Great. Under review