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Jingsi Ming

Showing results (1-10 of 12) with videos related to

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Bioinformatics (Oxford, England)|December 21, 2019
LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotationsJingsi Ming, Tao Wang, Can Yang
Briefings in Bioinformatics|April 30, 2026
Integrating and mapping single-cell transcriptomics across the entire gene expression spaceShuzhen Ding, Xintong Zhai, Zhou Yu, et al.
Bioinformatics (Oxford, England)|January 12, 2025
Funmap: integrating high-dimensional functional annotations to improve fine-mappingYuekai Li, Jiashun Xiao, Jingsi Ming, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 6, 2026
Bridging unpaired single-cell multimodal data for integrative analyses with SuperMapChao Deng, Xinyi Ma, Hui Lu, et al.
Bioinformatics (Oxford, England)|April 3, 2018
LSMM: a statistical approach to integrating functional annotations with genome-wide association studiesJingsi Ming, Mingwei Dai, Mingxuan Cai, et al.
Bioinformatics (Oxford, England)|October 9, 2019
Bayesian weighted Mendelian randomization for causal inference based on summary statisticsJia Zhao, Jingsi Ming, Xianghong Hu, et al.
Briefings in Bioinformatics|May 13, 2022
FIRM: Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasetsJingsi Ming, Zhixiang Lin, Jia Zhao, et al.
Bioinformatics (Oxford, England)|May 13, 2017
IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studiesMingwei Dai, Jingsi Ming, Mingxuan Cai, et al.
Nature Computational Science|January 4, 2024
Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasetsJia Zhao, Gefei Wang, Jingsi Ming, et al.
Elife|September 13, 2021
RNA splicing programs define tissue compartments and cell types at single-cell resolutionJulia Eve Olivieri, Roozbeh Dehghannasiri, Peter L Wang, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|December 21, 2019
LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotationsJingsi Ming, Tao Wang, Can Yang
Briefings in Bioinformatics|April 30, 2026
Integrating and mapping single-cell transcriptomics across the entire gene expression spaceShuzhen Ding, Xintong Zhai, Zhou Yu, et al.
Bioinformatics (Oxford, England)|January 12, 2025
Funmap: integrating high-dimensional functional annotations to improve fine-mappingYuekai Li, Jiashun Xiao, Jingsi Ming, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 6, 2026
Bridging unpaired single-cell multimodal data for integrative analyses with SuperMapChao Deng, Xinyi Ma, Hui Lu, et al.
Bioinformatics (Oxford, England)|April 3, 2018
LSMM: a statistical approach to integrating functional annotations with genome-wide association studiesJingsi Ming, Mingwei Dai, Mingxuan Cai, et al.
Bioinformatics (Oxford, England)|October 9, 2019
Bayesian weighted Mendelian randomization for causal inference based on summary statisticsJia Zhao, Jingsi Ming, Xianghong Hu, et al.
Briefings in Bioinformatics|May 13, 2022
FIRM: Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasetsJingsi Ming, Zhixiang Lin, Jia Zhao, et al.
Bioinformatics (Oxford, England)|May 13, 2017
IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studiesMingwei Dai, Jingsi Ming, Mingxuan Cai, et al.
Nature Computational Science|January 4, 2024
Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasetsJia Zhao, Gefei Wang, Jingsi Ming, et al.
Elife|September 13, 2021
RNA splicing programs define tissue compartments and cell types at single-cell resolutionJulia Eve Olivieri, Roozbeh Dehghannasiri, Peter L Wang, et al.
Pageof 2