Features of asthma which provide meaningful insights for understanding the disease heterogeneity

BACKGROUND: Data‐driven methods such as hierarchical clustering (HC) and principal component analysis (PCA) have been used to identify asthma subtypes, with inconsistent results. OBJECTIVE: To develop a framework for the discovery of stable and clinically meaningful asthma subtypes. METHODS: We perf...

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Detalles Bibliográficos
Autores principales: Deliu, M., Yavuz, T. S., Sperrin, M., Belgrave, D., Sahiner, U. M., Sackesen, C., Kalayci, O., Custovic, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
ORIGINAL ARTICLES
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5763358/
https://www.ncbi.nlm.nih.gov/pubmed/28833810
http://dx.doi.org/10.1111/cea.13014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5763358/
https://www.ncbi.nlm.nih.gov/pubmed/28833810
http://dx.doi.org/10.1111/cea.13014

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