Asthma remission: Predicting future airways responsiveness using an miRNA network.

[1]  Heather Eliassen,et al.  The Childhood Asthma Management Program (CAMP): design, rationale, and methods. Childhood Asthma Management Program Research Group. , 1999, Controlled clinical trials.

[2]  D. Postma,et al.  Patterns of Growth and Decline in Lung Function in Persistent Childhood Asthma. , 2016, The New England journal of medicine.

[3]  Tom Fawcett,et al.  Robust Classification for Imprecise Environments , 2000, Machine Learning.

[4]  Ana Kozomara,et al.  miRBase: annotating high confidence microRNAs using deep sequencing data , 2013, Nucleic Acids Res..

[5]  Matthew R. Jones,et al.  MicroRNA‐10a controls airway smooth muscle cell proliferation via direct targeting of the PI3 kinase pathway , 2014, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

[6]  Joaquín Dopazo,et al.  Integrated gene set analysis for microRNA studies , 2014, Bioinform..

[7]  B. Rosner,et al.  Measuring the corticosteroid responsiveness endophenotype in asthmatic patients. , 2015, The Journal of allergy and clinical immunology.

[8]  Scott T. Weiss,et al.  CGBayesNets: Conditional Gaussian Bayesian Network Learning and Inference with Mixed Discrete and Continuous Data , 2014, PLoS Comput. Biol..

[9]  Tomi Silander,et al.  On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter , 2007, UAI.

[10]  G. Sawicki,et al.  Patterns of inhaled corticosteroid use and asthma control in the Childhood Asthma Management Program Continuation Study. , 2010, Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology.

[11]  A. Kho,et al.  Circulating MicroRNAs: Association with Lung Function in Asthma , 2016, PloS one.