IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies. - Mingwei Dai; Jingsi Ming; Mingxuan Cai; Jin Liu 011; Can Yang 002; Xiang Wan; Zongben Xu (Bioinform., 2017)

LSMM: a statistical approach to integrating functional annotations with genome-wide association studies. - Jingsi Ming; Mingwei Dai; Mingxuan Cai; Xiang Wan; Jin Liu 011; Can Yang 002 (Bioinform., 2018)

LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotations. - Jingsi Ming; Tao Wang; Can Yang 002 (Bioinform., 2020)

Bayesian weighted Mendelian randomization for causal inference based on summary statistics. - Jia Zhao; Jingsi Ming; Xianghong Hu; Gang Chen; Jin Liu 011; Can Yang 002 (Bioinform., 2020)

FIRM: Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasets. - Jingsi Ming; Zhixiang Lin; Jia Zhao; Xiang Wan; Tabula Microcebus Consortium; Can Yang 002; Angela Ruohao Wu (Briefings Bioinform., 2022)

Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets. - Jia Zhao; Gefei Wang; Jingsi Ming; Zhixiang Lin; Yang Wang; Snigdha Agarwal; Aditi Agrawal; Ahmad Al-Moujahed; Alina Alam; Megan A. Albertelli; Paul Allegakoen; Thomas Ambrosi; et al. (Nat. Comput. Sci., 2022)

Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets. - Jia Zhao; Gefei Wang; Jingsi Ming; Zhixiang Lin; Yang Wang; Snigdha Agarwal; Aditi Agrawal; Ahmad Al-Moujahed; Alina Alam; Megan A. Albertelli; Paul Allegakoen; Thomas Ambrosi; et al. (Nat. Comput. Sci., 2022)