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Nicholas Mancuso

Showing results (11-20 of 90) with videos related to

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Bioinformatics (Oxford, England)|April 26, 2023
twas_sim, a Python-based tool for simulation and power analysis of transcriptome-wide association analysisXinran Wang, Zeyun Lu, Arjun Bhattacharya, et al.
American Journal of Human Genetics|August 27, 2024
Genes with differential expression across ancestries are enriched in ancestry-specific disease effects likely due to gene-by-environment interactionsJuehan Wang, Zixuan Zhang, Zeyun Lu, et al.
Medrxiv : the Preprint Server for Health Sciences|March 17, 2025
Efficient count-based models improve power and robustness for large-scale single-cell eQTL mappingZixuan Eleanor Zhang, Artem Kim, Noah Suboc, et al.
Advanced Materials (Deerfield Beach, Fla.)|September 19, 2023
Force-Triggered Self-Destructive HydrogelsTharindu Rajasooriya, Hiroaki Ogasawara, Yixiao Dong, et al.
American Journal of Epidemiology|January 6, 2021
A Hierarchical Approach Using Marginal Summary Statistics for Multiple Intermediates in a Mendelian Randomization or Transcriptome AnalysisLai Jiang, Shujing Xu, Nicholas Mancuso, et al.
Plos One|June 28, 2019
Post genome-wide gene-environment interaction study: The effect of genetically driven insulin resistance on breast cancer risk using Mendelian randomizationSu Yon Jung, Nicholas Mancuso, Jeanette Papp, et al.
Journal of Pharmacy Practice|January 24, 2019
Chomping at the Bit: A Descriptive Report on Pediatric Clenbuterol IngestionJordan Woolum, Nicholas Mancuso, Philip W Rutter, et al.
American Journal of Human Genetics|October 25, 2023
A scalable approach to characterize pleiotropy across thousands of human diseases and complex traits using GWAS summary statisticsZixuan Zhang, Junghyun Jung, Artem Kim, et al.
American Journal of Human Genetics|February 28, 2017
Integrating Gene Expression with Summary Association Statistics to Identify Genes Associated with 30 Complex TraitsNicholas Mancuso, Huwenbo Shi, Pagé Goddard, et al.
Medrxiv : the Preprint Server for Health Sciences|April 10, 2023
A scalable variational approach to characterize pleiotropic components across thousands of human diseases and complex traits using GWAS summary statisticsZixuan Zhang, Junghyun Jung, Artem Kim, et al.
Pageof 9

Showing results (11-20 of 90) with videos related to

Sort By:
Pageof 9
Bioinformatics (Oxford, England)|April 26, 2023
twas_sim, a Python-based tool for simulation and power analysis of transcriptome-wide association analysisXinran Wang, Zeyun Lu, Arjun Bhattacharya, et al.
American Journal of Human Genetics|August 27, 2024
Genes with differential expression across ancestries are enriched in ancestry-specific disease effects likely due to gene-by-environment interactionsJuehan Wang, Zixuan Zhang, Zeyun Lu, et al.
Medrxiv : the Preprint Server for Health Sciences|March 17, 2025
Efficient count-based models improve power and robustness for large-scale single-cell eQTL mappingZixuan Eleanor Zhang, Artem Kim, Noah Suboc, et al.
Advanced Materials (Deerfield Beach, Fla.)|September 19, 2023
Force-Triggered Self-Destructive HydrogelsTharindu Rajasooriya, Hiroaki Ogasawara, Yixiao Dong, et al.
American Journal of Epidemiology|January 6, 2021
A Hierarchical Approach Using Marginal Summary Statistics for Multiple Intermediates in a Mendelian Randomization or Transcriptome AnalysisLai Jiang, Shujing Xu, Nicholas Mancuso, et al.
Plos One|June 28, 2019
Post genome-wide gene-environment interaction study: The effect of genetically driven insulin resistance on breast cancer risk using Mendelian randomizationSu Yon Jung, Nicholas Mancuso, Jeanette Papp, et al.
Journal of Pharmacy Practice|January 24, 2019
Chomping at the Bit: A Descriptive Report on Pediatric Clenbuterol IngestionJordan Woolum, Nicholas Mancuso, Philip W Rutter, et al.
American Journal of Human Genetics|October 25, 2023
A scalable approach to characterize pleiotropy across thousands of human diseases and complex traits using GWAS summary statisticsZixuan Zhang, Junghyun Jung, Artem Kim, et al.
American Journal of Human Genetics|February 28, 2017
Integrating Gene Expression with Summary Association Statistics to Identify Genes Associated with 30 Complex TraitsNicholas Mancuso, Huwenbo Shi, Pagé Goddard, et al.
Medrxiv : the Preprint Server for Health Sciences|April 10, 2023
A scalable variational approach to characterize pleiotropic components across thousands of human diseases and complex traits using GWAS summary statisticsZixuan Zhang, Junghyun Jung, Artem Kim, et al.
Pageof 9