MetPriCNet provides a platform to prioritize candidate disease-related metabolites by fully considering topological
information of multi-omics composite network. First, we constructed a composite network in the viewpoint of multi-omics by
integrating genome, phenome, metabolome and interactome. Then the candidate metabolites were prioritized based on a global
distance similarity measure in the composite network. By given seed information (known phenotype, known disease genes and
known disease metabolite) and candidate metabolites, MetPriCNet could provide a table of the rank of the candidate metabolites.
Download
The MetPriCNet is implemented as a freely available R-based tool: MetPriCNet.
The available resource of MetPriCNet can be downloaded as follows:
The available resource of R can be downloaded as follows:
The available resource of adjacency matrix of six networks can be downloaded as follows:
Top 50 risk metabolites that prioritized by MetPriCNet for 87 diseases can be downloaded as follows:
To run the example you can use R code as follows: Rcode.R
LINKAGE
Contact
 | Qianlan Yao | yaoqianlan@yahoo.com |
| Chunquan Li | lcqbio@aliyun.com |
| Haixiu Yang | yanghaixiu@ems.hrbmu.edu.cn |
| Xia Li | lixia@hrbmu.edu.cn |