Method development for microbiome Analysis
1. Microbiome Meta-Analysis
There is a growing need for knowledge synthesis about the role of microbiome in health and disease using meta-analysis as more and more microbiome studies become available. The current approaches to microbiome meta-analysis could be more accurately described as mega-analysis. In mega-analysis, different datasets are combined into one and analyses are done on the collective dataset. In contrast, the meta-analysis refers to the comparison of the effects in per-study analysis vs. collective analysis. Currently, there is no method for microbiome meta-analysis. In collaboration with Dr Elif Acar, we are developing new methods for microbiome meta-analysis.
2. Baysian models for microbiome
While our understanding of disease pathogenesis and causative factors has expanded over the decades, the majority of research is conducted at the population level without taking causal heterogeneity into account. The analyses are mostly done using multivariable models that account for the other factors as covariates. In collaboration with Dr Thierry Chekouo Tekougang, we are developing new methods to address some of these shortcomings.