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Guanghao Qi

Showing results (1-10 of 20) with videos related to

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BMC Bioinformatics|March 19, 2026
DAESC + : high-performance, integrated software for single-cell allele-specific expression dataTengfei Cui, Guanghao Qi
Plos Genetics|October 6, 2018
Heritability informed power optimization (HIPO) leads to enhanced detection of genetic associations across multiple traitsGuanghao Qi, Nilanjan Chatterjee
Biorxiv : the Preprint Server for Biology|September 18, 2025
DAESC+: High-performance, integrated software for single-cell allele-specific expression dataTengfei Cui, Guanghao Qi
Nature Communications|April 28, 2019
Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effectsGuanghao Qi, Nilanjan Chatterjee
International Journal of Epidemiology|January 4, 2021
A comprehensive evaluation of methods for Mendelian randomization using realistic simulations and an analysis of 38 biomarkers for risk of type 2 diabetesGuanghao Qi, Nilanjan Chatterjee
Trends in Genetics : TIG|August 10, 2024
Computational methods for allele-specific expression in single cellsGuanghao Qi, Alexis Battle
Biostatistics (Oxford, England)|March 9, 2024
Mendelian randomization analysis using multiple biomarkers of an underlying common exposureJin Jin, Guanghao Qi, Zhi Yu, et al.
Nature Genetics|August 15, 2018
Estimation of complex effect-size distributions using summary-level statistics from genome-wide association studies across 32 complex traitsYan Zhang, Guanghao Qi, Ju-Hyun Park, et al.
Cell Genomics|November 4, 2025
Transcriptome-wide association studies at cell-state level using single-cell eQTL dataGuanghao Qi, Eardi Lila, Zhicheng Ji, et al.
Medrxiv : the Preprint Server for Health Sciences|April 1, 2025
Transcriptome-wide association studies at cell state level using single-cell eQTL dataGuanghao Qi, Eardi Lila, Zhicheng Ji, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
BMC Bioinformatics|March 19, 2026
DAESC + : high-performance, integrated software for single-cell allele-specific expression dataTengfei Cui, Guanghao Qi
Plos Genetics|October 6, 2018
Heritability informed power optimization (HIPO) leads to enhanced detection of genetic associations across multiple traitsGuanghao Qi, Nilanjan Chatterjee
Biorxiv : the Preprint Server for Biology|September 18, 2025
DAESC+: High-performance, integrated software for single-cell allele-specific expression dataTengfei Cui, Guanghao Qi
Nature Communications|April 28, 2019
Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effectsGuanghao Qi, Nilanjan Chatterjee
International Journal of Epidemiology|January 4, 2021
A comprehensive evaluation of methods for Mendelian randomization using realistic simulations and an analysis of 38 biomarkers for risk of type 2 diabetesGuanghao Qi, Nilanjan Chatterjee
Trends in Genetics : TIG|August 10, 2024
Computational methods for allele-specific expression in single cellsGuanghao Qi, Alexis Battle
Biostatistics (Oxford, England)|March 9, 2024
Mendelian randomization analysis using multiple biomarkers of an underlying common exposureJin Jin, Guanghao Qi, Zhi Yu, et al.
Nature Genetics|August 15, 2018
Estimation of complex effect-size distributions using summary-level statistics from genome-wide association studies across 32 complex traitsYan Zhang, Guanghao Qi, Ju-Hyun Park, et al.
Cell Genomics|November 4, 2025
Transcriptome-wide association studies at cell-state level using single-cell eQTL dataGuanghao Qi, Eardi Lila, Zhicheng Ji, et al.
Medrxiv : the Preprint Server for Health Sciences|April 1, 2025
Transcriptome-wide association studies at cell state level using single-cell eQTL dataGuanghao Qi, Eardi Lila, Zhicheng Ji, et al.
Pageof 2