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Fingerprint Dive into the research topics where Ni Zhao is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Microbiota Medicine & Life Sciences
Papillomaviridae Medicine & Life Sciences
Methylation Medicine & Life Sciences
Survival Medicine & Life Sciences
Neoplasms Medicine & Life Sciences
kernel Mathematics
Head and Neck Neoplasms Medicine & Life Sciences
Mutation Medicine & Life Sciences

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Research Output 2006 2019

A distance-based kernel association test based on the generalized linear mixed model for correlated microbiome studies

Koh, H., Li, Y., Zhan, X., Chen, J. & Zhao, N., Jan 1 2019, In : Frontiers in Genetics. 10, MAY, 458.

Research output: Contribution to journalArticle

Open Access
Linear Models
Body Mass Index
Health Status

An adaptive multivariate two-sample test with application to microbiome differential abundance analysis

Banerjee, K., Zhao, N., Srinivasan, A., Xue, L., Hicks, S. D., Middleton, F. A., Wu, R. & Zhan, X., Jan 1 2019, In : Frontiers in Genetics. 10, APR, 350.

Research output: Contribution to journalArticle

Open Access
Validation Studies
Multivariate Analysis

Colonic mucosal and exfoliome transcriptomic profiling and fecal microbiome response to a flaxseed lignan extract intervention in humans

Lampe, J. W., Kim, E., Levy, L., Davidson, L. A., Goldsby, J. S., Miles, F. L., Navarro, S. L., Randolph, T. W., Zhao, N., Ivanov, I., Kaz, A. M., Damman, C., Hockenbery, D. M., Hullar, M. A. J. & Chapkin, R. S., Aug 1 2019, In : The American journal of clinical nutrition. 110, 2, p. 377-390 14 p.

Research output: Contribution to journalArticle


A small-sample kernel association test for correlated data with application to microbiome association studies

Zhan, X., Xue, L., Zheng, H., Plantinga, A., Wu, M. C., Schaid, D. J., Zhao, N. & Chen, J., Jan 1 2018, (Accepted/In press) In : Genetic Epidemiology.

Research output: Contribution to journalArticle

Twin Studies
Sample Size
Longitudinal Studies

Composite kernel machine regression based on likelihood ratio test for joint testing of genetic and gene–environment interaction effect

Zhao, N., Zhang, H., Clark, J. J., Maity, A. & Wu, M. C., Jan 1 2018, In : Biometrics.

Research output: Contribution to journalArticle

Gene-environment Interaction
Kernel Machines
Interaction Effects
Genetic Testing
Likelihood Ratio Test