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Wei Pan

19982020

Research output per year

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Projects

Discovering causal genes, brain regions and other risk factors for Alzheimer'a disease

Pan, W., Fiecas, M. & Zhang, L.

NIH NAT'L INSTITUTE ON AGING (NIA)

3/1/20 → 2/21/25

Project: Research project

    • Estimation and Inference of Gene Regulatory Networks

    Shen, X. T., Albert, F. W. & Pan, W.

    NIH NIGMS NATL INST OF GENERAL

    9/15/17 → 8/31/21

    Project: Research project

    • Collaborative Research: Adaptive testing and rare-event

    Pan, W.

    National Science Foundation

    8/15/17 → 7/31/20

    Project: Research project

    • Association analysis of rare variants with sequencing da

    Pan, W. & Xu, G.

    National Institutes of Health

    8/1/17 → 7/31/21

    Project: Research project

    Integrating genomic and imaging endophenotypes in GWAS

    Pan, W.

    NIH NAT'L INSTITUTE ON AGING (NIA)

    4/1/17 → 3/31/21

    Project: Research project

    • Research Output

    An adaptive test for meta-analysis of rare variant association studies

    Yang, T., Kim, J., Wu, C., Ma, Y., Wei, P. & Pan, W., Jan 1 2020, In : Genetic epidemiology. 44, 1, p. 104-116 13 p.

    Research output: Contribution to journal › Article

    • A powerful fine-mapping method for transcriptome-wide association studies

    Wu, C. & Pan, W., Feb 1 2020, In : Human Genetics. 139, 2, p. 199-213 15 p.

    Research output: Contribution to journal › Article

    • 1 Scopus citations

    Integrating germline and somatic genetics to identify genes associated with lung cancer

    Pattee, J., Zhan, X., Xiao, G. & Pan, W., Apr 1 2020, In : Genetic epidemiology. 44, 3, p. 233-247 15 p.

    Research output: Contribution to journal › Article

    • Leveraging existing GWAS summary data of genetically correlated and uncorrelated traits to improve power for a new GWAS

    Xue, H., Wu, C. & Pan, W., 2020, (Accepted/In press) In : Genetic epidemiology.

    Research output: Contribution to journal › Article

    • Local epigenomic data are more informative than local genome sequence data in predicting enhancer-promoter interactions using neural networks

    Xiao, M., Zhuang, Z. & Pan, W., Jan 2020, In : Genes. 11, 1, 41.

    Research output: Contribution to journal › Article

    Open Access
    • 1 Scopus citations