Zhigang Li

This paper introduces ConQuR, a method to remove batch effects in microbiome data by using conditional quantile regression, demonstrating its effectiveness in preserving signals and improving analysis.

The paper introduces a zero-inflated latent Ising model to estimate microbial interaction networks, showing it outperforms traditional methods in simulated and real gut microbiome data.