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1. Tree-guided regression and multivariate analysis of microbiome data
Hongu Zhao and Tao Wang
2. Computational methods for metagenomic assemblies and strain identification
Hongzhe Li
3. Graphical models for microbiome data
Ali Shojaie
4. Bayesian models for understanding the modulating factors of microbiome data
Francesco Denti, Matthew D. Koslovsky, Michele Guindani, Marina Vannucci, and Katrine L. Whiteson
5. Use of variable importance in microbiome studies
Hemant Ishwaran
6. Log-linear models for microbiome data
Glen Satten
7. Quantification of amplicon sequences in microbiome samples using statistical methods
Karin Dorman
8. TBD
Jeanine Houwing Duistermaat
9. Analyzing microbiome data by employing the power of abundance ratios
Zhigang Li
10. Beta diversity analysis
Michael Wu
11. MicroPro: using metagenomic unmapped reads to provide insights into human microbiota and disease associations
Fengzhu Sun
12. Statistical methods for feature selection in microbiome studies
Peng Liu
13. A Bayesian restoration of the duality between principal components of a distance matrix and operational taxonomic units in microbiome analyses
Somnath Datta and Subharup Guha.

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