Article published: Variable selection in microbiome compositional data analysis
Prof. Malu Luz Calle visited MIG and our group in January 2019. Together with Dr Antoni Susin and Eva Yiwen Wang we compared variable selection logistic regression methods, including centered log ratio transformation lasso regression, Compositional Data Analysis (CoDa) regression and Selbal (based on compositional balances).
The article explains the similarities and differences between all methods, and when they should be applied (whether we are looking for a short discriminative signature).
The full vignette and data is available on GitHub: https://github.com/EvaYiwenWang/Microbiome_variable_selection_tutorial