Publications

GooGle Scholar

2024

  1. JCGS
    MFAI: A scalable Bayesian matrix factorization approach to leveraging auxiliary information
    Wang, Zhiwei, Zhang, Fa, Zheng, Cong, Hu, Xianghong, Cai, Mingxuan, and Yang, Can
    Journal of Computational and Graphical Statistics 2024

2023

  1. Nat Commun
    XMAP: Cross-population fine-mapping by leveraging genetic diversity and accounting for confounding bias
    Cai, Mingxuan, Wang, Zhiwei, Xiao, Jiashun, Hu, Xianghong, Chen, Gang, and Yang, Can
    Nature Communications 2023
  2. Nat Commun
    Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope
    Wan, Xiaomeng, Xiao, Jiashun, Tam, Sindy Sing-Ting, Cai, Mingxuan, Sugimura, Ryohichi, Wang, Yang, Wan, Xiang, Lin, Angela Ruohao, and Yang, Can
    Nature Communications 2023
  3. Bioinformatics
    PALM: A Powerful and Adaptive Latent Model for Prioritizing Risk Variants with Functional Annotations
    Yu, Xinyi, Xiao, Jiashun, Cai, Mingxuan, Jiao, Yuling, Wan, Xiang, Liu, Jin, and Yang, Can
    Bioinformatics 2023

2022

  1. AJHG
    Leveraging the local genetic structure for trans-ancestry association mapping
    Xiao, Jiashun, Cai, Mingxuan, Yu, Xinyi, Hu, Xianghong, Wan, Xiang, Chen, Gang, and Yang, Can
    The American Journal of Human Genetics 2022
  2. Bioinformatics
    XPXP: Improving polygenic prediction by cross-population and cross-phenotype analysis
    Xiao, Jiashun, Cai, Mingxuan, Hu, Xianghong, Wan, Xiang, Chen, Gang, and Yang, Can
    Bioinformatics 2022

2021

  1. AJHG
    A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits
    Cai, Mingxuan, Xiao, Jiashun, Zhang, Shunkang, Wan, Xiang, Zhao, Hongyu, Chen, Gang, and Yang, Can
    The American Journal of Human Genetics 2021

2020

  1. NARGAB
    IGREX for quantifying the impact of genetically regulated expression on phenotypes
    Cai, Mingxuan, Chen, Lin S, Liu, Jin, and Yang, Can
    NAR genomics and bioinformatics 2020
  2. JCGS
    BIVAS: a scalable Bayesian method for bi-level variable selection with applications
    Cai, Mingxuan, Dai, Mingwei, Ming, Jingsi, Peng, Heng, Liu, Jin, and Yang, Can
    Journal of Computational and Graphical Statistics 2020

2018

  1. Bioinformatics
    LSMM: a statistical approach to integrating functional annotations with genome-wide association studies
    Ming, Jingsi, Dai, Mingwei, Cai, Mingxuan, Wan, Xiang, Liu, Jin, and Yang, Can
    Bioinformatics 2018

2017

  1. Bioinformatics
    IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies
    Dai, Mingwei, Ming, Jingsi, Cai, Mingxuan, Liu, Jin, Yang, Can, Wan, Xiang, and Xu, Zongben
    Bioinformatics 2017