JASA

Integrative Analysis of Microbial 16S Gene and Shotgun Metagenomic Sequencing Data Improves Statistical Efficiency in Testing Differential Abundance

Authors
Ye Yue Yicong Mao Timothy D. Read Veronika Fedirko Glen A. Satten Xuan Chen Xiang Zhan Yi-Juan Hu
Research Topics
Hypothesis Testing
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Paper Information
  • Journal:
    Journal of the American Statistical Association
  • DOI:
    10.1080/01621459.2025.2516205
  • Added to Tracker:
    Sep 03, 2025
Author Details
Ye Yue
Author
Yicong Mao
Author
Timothy D. Read
Author
Veronika Fedirko
Author
Glen A. Satten
Author
Xuan Chen
Author
Xiang Zhan
Author
Yi-Juan Hu
Author
Research Topics & Keywords
Hypothesis Testing
Research Area
Citation Information
APA Format
Ye Yue , Yicong Mao , Timothy D. Read , Veronika Fedirko , Glen A. Satten , Xuan Chen , Xiang Zhan & Yi-Juan Hu . Integrative Analysis of Microbial 16S Gene and Shotgun Metagenomic Sequencing Data Improves Statistical Efficiency in Testing Differential Abundance. Journal of the American Statistical Association , 10.1080/01621459.2025.2516205.
BibTeX Format
@article{paper446,
  title = { Integrative Analysis of Microbial 16S Gene and Shotgun Metagenomic Sequencing Data Improves Statistical Efficiency in Testing Differential Abundance },
  author = { Ye Yue and Yicong Mao and Timothy D. Read and Veronika Fedirko and Glen A. Satten and Xuan Chen and Xiang Zhan and Yi-Juan Hu },
  journal = { Journal of the American Statistical Association },
  doi = { 10.1080/01621459.2025.2516205 },
  url = { https://www.tandfonline.com/doi/full/10.1080/01621459.2025.2516205 }
}
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