title: Strategies for molecular classification of asthma using bipartite network analysis of cytokine expression.
abstract: Asthma is a chronic inflammatory disease of the airways that leads to various degrees of recurrent respiratory symptoms affecting patients globally. Specific subgroups of asthma patients have severe disease leading to increased healthcare costs and socioeconomic burden. Despite the overwhelming prevalence of the asthma, there are limitations in predicting response to therapy and identifying patients who are at increased risk of morbidity. This syndrome presents with common clinical signs and symptoms; however, awareness of subgroups of asthma patients with distinct characteristics has surfaced in recent years. Investigators attempt to describe the phenotypes of asthma to ultimately assist with diagnostic and therapeutic applications. Approaches to asthma phenotyping are multifold; however, it can be partitioned into 2 essential groups, clinical phenotyping and molecular phenotyping. Innovative techniques such as bipartite network analysis and visual analytics introduce a new dimension of data analysis to identify underlying mechanistic pathways.
authors: Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Texas Medical Branch, 5.140 John Sealy Annex, 301 University Blvd, Galveston, TX 77555-0561, USA. rrpillai@utmb.edu
authors: Regina R
authors: RR
authors: Pillai
authors: Rohit
authors: R
authors: Divekar
authors: Allan
authors: A
authors: Brasier
authors: Suresh
authors: S
authors: Bhavnani
authors: William J
authors: WJ
authors: Calhoun
mesh_terms: D001185:Artificial Intelligence; D001249:Asthma / Q000145:classification* / Q000209:etiology / Q000378:metabolism*; D001250:Asthma, Exercise-Induced / Q000378:metabolism; D016000:Cluster Analysis; D016207:Cytokines / Q000378:metabolism*; D005786:Gene Expression Regulation; D006801:Humans; D016015:Logistic Models; D008954:Models, Biological; D016571:Neural Networks, Computer; D010641:Phenotype; D012130:Respiratory Hypersensitivity / Q000150:complications*; D049490:Systems Biology
chemical_list: D016207:Cytokines