Correlation measures in metagenomic data: the blessing of dimensionality
Alessandro Fuschi, Alessandra Merlotti, Thi Dong Binh Tran, Hoan Thi Nguyen, George M. Weinstock, Daniel Remondini
This study investigates biases in network reconstruction from metagenomic data using correlation measures and shows how compositional data transformations can improve accuracy.
bioRxiv · Feb 29, 2024 · PreprintSystems Biology