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Wenqiang Song

Showing results (31-40 of 34) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|December 27, 2022
Lipid kinase PIK3C3 maintains healthy brown and white adipose tissues to prevent metabolic diseasesWenqiang Song, J Luke Postoak, Guan Yang, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 6, 2024
Single-microglia transcriptomic transition network-based prediction and real-world patient data validation identifies ketorolac as a repurposable drug for Alzheimer's diseaseJielin Xu, Wenqiang Song, Zhenxing Xu, et al.
Journal of the National Cancer Institute|August 26, 2023
Novel insights into genetic susceptibility for colorectal cancer from transcriptome-wide association and functional investigationZhishan Chen, Wenqiang Song, Xiao-Ou Shu, et al.
Nature Communications|January 15, 2026
Mixed-model and transcriptome-wide association analyses identify transcription factors and genes associated with colorectal cancer susceptibilityZhishan Chen, Wenqiang Song, Qing Li, et al.
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Showing results (31-40 of 34) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 34 results.
Proceedings of the National Academy of Sciences of the United States of America|December 27, 2022
Lipid kinase PIK3C3 maintains healthy brown and white adipose tissues to prevent metabolic diseasesWenqiang Song, J Luke Postoak, Guan Yang, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 6, 2024
Single-microglia transcriptomic transition network-based prediction and real-world patient data validation identifies ketorolac as a repurposable drug for Alzheimer's diseaseJielin Xu, Wenqiang Song, Zhenxing Xu, et al.
Journal of the National Cancer Institute|August 26, 2023
Novel insights into genetic susceptibility for colorectal cancer from transcriptome-wide association and functional investigationZhishan Chen, Wenqiang Song, Xiao-Ou Shu, et al.
Nature Communications|January 15, 2026
Mixed-model and transcriptome-wide association analyses identify transcription factors and genes associated with colorectal cancer susceptibilityZhishan Chen, Wenqiang Song, Qing Li, et al.
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