Live Breaking News & Updates on R Package For Weighted Correlation Network Analysis

Background Currently, disease control in patients with severe eosinophilic asthma is not optimistic. Competing endogenous RNA (ceRNA) networks have been found to play a key role in asthma in recent years. However, it is unclear whether ceRNA networks play an important part in severe eosinophilic asthma. Methods Firstly, gene expression profiles related to severe eosinophilic asthma were downloaded from the Gene Expression Omnibus (GEO) database. Secondly, the key modules were identified by the weighted gene co-expression network analysis (WGCNA). Thirdly, genes in modules highly associated with severe eosinophilic asthma were selected for further construction of the ceRNA network. Fourthly, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on hub genes. Finally, the results of this study were validated on the GSE143303, GSE137268, and GSE147878 datasets. Results 22 severe eosinophilic asthmatics and 13 healthy controls were extract ....

South Korea , Cluego Bindea , Azimzadeh Jamalkandi , Expression Network Construction , Natural Science Foundation Of Shandong Province , Key Research , Development Program Of Shandong Province , Coexpression Network Analysis , Human Asthmatic Airways , Network Revealed Novel Long Rnas , Rnpk Axis Promotes Primary Liver Cancer Development , Development Of Asthma , Protein Association Networks , Network Construction , Airway Inflammation , Impairment Domain Of The Expert Panel , Pathway Annotation Networks , National Natural Science Foundation Of China , Cerna Network , Network Identifies Signature , R Package For Weighted Correlation Network Analysis , Adscs Attenuate Airway , Gene Co Expression , Gene Expression Omnibus , Consensus Module , External Clinical ,