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,...
Saved in:
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A novel computational approach for the mining of signature pathways using species co-occurrence networks in gut microbiomes
by: Suyeon Kim, et al.
Published: (2024-11-01) -
MO-GCN: A multi-omics graph convolutional network for discriminative analysis of schizophrenia
by: Haiyuan Wang, et al.
Published: (2025-02-01) -
Algorithms and tools for data-driven omics integration to achieve multilayer biological insights: a narrative review
by: Aurelia Morabito, et al.
Published: (2025-04-01) -
Scrutinizing neurodegenerative diseases: decoding the complex genetic architectures through a multi-omics lens
by: Relu Cocoș, et al.
Published: (2024-12-01) -
NETWORK AND PATHWAY BASED ANALYSIS OF MULTI-OMIC DATA TO ENLIGHTEN MOLECULAR MECHANISMS OF COMPLEX DISEASES
by: Burcu Bakır Güngör
Published: (2022-08-01)