SR-TWAS: leveraging multiple reference panels to improve transcriptome-wide association study power by ensemble machine learning

Parrish, R. L., Buchman, A. S., Tasaki, S., Wang, Y., Avey, D., Xu, J., De Jager, P. L., Bennett, D. A., Epstein, M. P., & Yang, J. (2024). SR-TWAS: leveraging multiple reference panels to improve transcriptome-wide association study power by ensemble machine learning. Nature Communications, 15(1). https://doi.org/10.1038/s41467-024-50983-w
Authors:
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
Affiliated Authors:
Philip L De Jager
Publication Type:
Article
Unique ID:
10.1038/s41467-024-50983-w
PMID:
Publication Date:
Data Source:
PubMed

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