ArticleCurrent allergy and asthma reports2012
Strategies for molecular classification of asthma using bipartite network analysis of cytokine expression.
Article in Current allergy and asthma reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Bipartite Graph Analysis of the Virus-Host Protein Interaction Network to Identify Key Proteins Mediating the Infection.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Relationship between asthma status and antibody response pattern to 23-valent pneumococcal vaccination.The Journal of asthma : official journal of the Association for the Care of Asthma · 2020Article
- Review
- The soft computing-based approach to investigate allergic diseases: a systematic review.Clinical and molecular allergy : CMA · 2017Article
- Aligning mouse models of asthma to human endotypes of disease.Respirology (Carlton, Vic.) · 2014Review
- TGF- β: an important mediator of allergic disease and a molecule with dual activity in cancer development.Journal of immunology research · 2014Review
- Identifying phenotypic signatures of neuropsychiatric disorders from electronic medical records.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- Identification of innate immune response endotypes in asthma: implications for personalized medicine.Current allergy and asthma reports · 2013Review
- Symptom-Based Clustering in Chronic Rhinosinusitis Relates to History of Aspirin Sensitivity and Postsurgical Outcomes.The journal of allergy and clinical immunology. In practiceArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.