Decoding Neuromuscular Disorders Using Phenotypic Clusters Obtained From Co-Occurrence Networks
Elena Díaz-Santiago, M. Gonzalo Claros, Raquel Yahyaoui, Yolanda de Diego-Otero, Rocío Calvo, Janet Hoenicka, Francesc Palau, Juan A. G. Ranea, James R. Perkins
2021
Frontiers in Molecular Biosciences
This work is an example of reproducible research that i) can help better understand NMDs and support their diagnosis by providing a new tool that exploits existing information to obtain novel clusters ...
In parallel, a tripartite network based on phenotypes, diseases and genes was used to associate NMD phenotypes with functions, an approach also validated by literature co-mention, with KEGG pathways showing ...
The workflow was managed using AutoFlow (Seoane et al., 2016) . For co-occurrence analysis, PhenoClusters requires NetAnalyzer (Rojano et al., 2017) . ...
doi:10.3389/fmolb.2021.635074
pmid:34046427
pmcid:PMC8147726
fatcat:laafcaukefgfrakdxw4q5rmo64