Taija Lottonen, Anu-Marja Kaihlanen, Janna Nadav, Pirjo Hilama, Tarja Heponiemi
Nurses' and physicians' perceptions of the impact of eHealth and information systems on the roles of health care professionals: A qualitative descriptive study
Health informatics journal
neutrophil extracellular traps nets play central role chronic airway diseases however precise genetic basis linking nets development severe asthma remains elusive study aims unravel molecular characterization netrelated genes nrgs severe asthma reliably identify relevant molecular clusters biomarkers analyzed rnaseq data gene expression omnibus database interaction analysis revealed fifty differentially expressed nrgs denrgs subsequently nonnegative matrix factorization algorithm categorized samples severe asthma patients machine learning algorithm identified core nrgs highly associated severe asthma denrgs correlated subjected proteinprotein interaction analysis unsupervised consensus clustering core gene expression profiles delineated two distinct clusters c1 c2 characterizing severe asthma functional enrichment highlighted immunerelated pathways c2 cluster core gene selection included boruta algorithm support vector machine least absolute contraction selection operator algorithms diagnostic performance assessed receiver operating characteristic curves study addresses molecular characterization nrgs adult severe asthma revealing distinct clusters based denrgs potential biomarkers timp1 nfil3 identified may important early diagnosis treatment severe asthma