Randy L Parrish

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 5

Top Topics

Machine Learning

Dna Methylation

Mild Cognitive Impairment

Top Venues

Nature communications

medRxiv : the preprint server for health sciences

This page only lists publications with an associated author ORCID identifier.

Publications

Randy L Parrish, Aron S Buchman, Shinya Tasaki, Yangling Wang, Denis Avey, Jishu Xu, Philip Lawrence De Jager, David A Bennett, Michael P Epstein, Jingjing Yang
SR-TWAS: leveraging multiple reference panels to improve transcriptome-wide association study power by ensemble machine learning. Nature communications 15 (1) (2024)
Randy L Parrish, Aron S Buchman, Shinya Tasaki, Yangling Wang, Denis Avey, Jishu Xu, Philip Lawrence De Jager, David A Bennett, Michael P Epstein, Jingjing Yang
SR-TWAS: leveraging multiple reference panels to improve transcriptome-wide association study power by ensemble machine learning. Nature communications 15 (1) (2024)
Randy L Parrish, Aron S Buchman, Shinya Tasaki, Yangling Wang, Denis Avey, Jishu Xu, Philip Lawrence De Jager, David A Bennett, Michael P Epstein, Jingjing Yang
SR-TWAS: leveraging multiple reference panels to improve transcriptome-wide association study power by ensemble machine learning. Nature communications 15 (1) (2024)
Randy L Parrish, Aron S Buchman, Shinya Tasaki, Yangling Wang, Denis Avey, Jishu Xu, Philip Lawrence De Jager, David A Bennett, Michael P Epstein, Jingjing Yang
SR-TWAS: leveraging multiple reference panels to improve transcriptome-wide association study power by ensemble machine learning. Nature communications 15 (1) (2024)
Randy L Parrish, Aron S Buchman, Shinya Tasaki, Yanling Wang, Denis Avey, Jishu Xu, Philip L De Jager, David A Bennett, Michael P Epstein, Jingjing Yang
SR-TWAS: Leveraging Multiple Reference Panels to Improve TWAS Power by Ensemble Machine Learning. medRxiv : the preprint server for health sciences (2023)