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Randy L Parrish

Showing results (1-10 of 7) with videos related to

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HGG Advances|January 20, 2022
TIGAR-V2: Efficient TWAS tool with nonparametric Bayesian eQTL weights of 49 tissue types from GTEx V8Randy L Parrish, Greg C Gibson, Michael P Epstein, et al.
American Journal of Human Genetics|July 30, 2024
Omnibus proteome-wide association study identifies 43 risk genes for Alzheimer disease dementiaTingyang Hu, Randy L Parrish, Qile Dai, et al.
Communications Biology|April 22, 2026
Cell-type-aware transcriptome-wide association studies identify 91 independent risk genes for Alzheimer's disease dementiaQiang Liu, Randy L Parrish, Shizhen Tang, et al.
Medrxiv : the Preprint Server for Health Sciences|July 10, 2023
SR-TWAS: Leveraging Multiple Reference Panels to Improve TWAS Power by Ensemble Machine LearningRandy L Parrish, Aron S Buchman, Shinya Tasaki, et al.
Nature Communications|August 5, 2024
SR-TWAS: leveraging multiple reference panels to improve transcriptome-wide association study power by ensemble machine learningRandy L Parrish, Aron S Buchman, Shinya Tasaki, et al.
Medrxiv : the Preprint Server for Health Sciences|June 10, 2025
Cell-type-specific Transcriptomic-wide Association Studies Detected 91 Independent Risk Genes for Alzheimer's Disease DementiaQiang Liu, Randy L Parrish, Shizhen Tang, et al.
Medrxiv : the Preprint Server for Health Sciences|April 8, 2024
Proteome-wide association studies using summary pQTL data of three tissues identified 30 risk genes of Alzheimer's disease dementiaTingyang Hu, Qiang Liu, Qile Dai, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
HGG Advances|January 20, 2022
TIGAR-V2: Efficient TWAS tool with nonparametric Bayesian eQTL weights of 49 tissue types from GTEx V8Randy L Parrish, Greg C Gibson, Michael P Epstein, et al.
American Journal of Human Genetics|July 30, 2024
Omnibus proteome-wide association study identifies 43 risk genes for Alzheimer disease dementiaTingyang Hu, Randy L Parrish, Qile Dai, et al.
Communications Biology|April 22, 2026
Cell-type-aware transcriptome-wide association studies identify 91 independent risk genes for Alzheimer's disease dementiaQiang Liu, Randy L Parrish, Shizhen Tang, et al.
Medrxiv : the Preprint Server for Health Sciences|July 10, 2023
SR-TWAS: Leveraging Multiple Reference Panels to Improve TWAS Power by Ensemble Machine LearningRandy L Parrish, Aron S Buchman, Shinya Tasaki, et al.
Nature Communications|August 5, 2024
SR-TWAS: leveraging multiple reference panels to improve transcriptome-wide association study power by ensemble machine learningRandy L Parrish, Aron S Buchman, Shinya Tasaki, et al.
Medrxiv : the Preprint Server for Health Sciences|June 10, 2025
Cell-type-specific Transcriptomic-wide Association Studies Detected 91 Independent Risk Genes for Alzheimer's Disease DementiaQiang Liu, Randy L Parrish, Shizhen Tang, et al.
Medrxiv : the Preprint Server for Health Sciences|April 8, 2024
Proteome-wide association studies using summary pQTL data of three tissues identified 30 risk genes of Alzheimer's disease dementiaTingyang Hu, Qiang Liu, Qile Dai, et al.
Pageof 1