Inferring microbial co-occurrence networks from amplicon data: a systematic evaluation
D. Kishore, G. Birzu, Z. Hu, C. DeLisi, K. Korolev, D. Segre
This study evaluates how different tools and parameters affect microbial co-occurrence network inference from 16S amplicon data and develops a standardized pipeline.
bioRxiv · Sep 23, 2020 · PreprintMicrobiology