ggClusterNet 2: An R package for microbial co‐occurrence networks and associated indicator correlation patterns

Abstract Since its initial release in 2022, ggClusterNet has become a vital tool for microbiome research, enabling microbial co‐occurrence network analysis and visualization in over 300 studies. To address emerging challenges, including multi‐factor experimental designs, multi‐treatment conditions,...

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Main Authors: Tao Wen, Yong‐Xin Liu, Lanlan Liu, Guoqing Niu, Zhexu Ding, Xinyang Teng, Jie Ma, Ying Liu, Shengdie Yang, Penghao Xie, Tianjiao Zhang, Lei Wang, Zhanyuan Lu, Qirong Shen, Jun Yuan
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:iMeta
Subjects:
Online Access:https://doi.org/10.1002/imt2.70041
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