Asthma remission: Predicting future airways responsiveness using an miRNA network
Open Access
- 23 February 2017
- journal article
- Published by Elsevier BV in Journal of Allergy and Clinical Immunology
- Vol. 140 (2), 598-600.e8
- https://doi.org/10.1016/j.jaci.2017.01.023
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Integrated gene set analysis for microRNA studiesBioinformatics, 2016
- Circulating MicroRNAs: Association with Lung Function in AsthmaPLOS ONE, 2016
- Patterns of Growth and Decline in Lung Function in Persistent Childhood AsthmaThe New England Journal of Medicine, 2016
- Measuring the corticosteroid responsiveness endophenotype in asthmatic patientsJournal of Allergy and Clinical Immunology, 2015
- CGBayesNets: Conditional Gaussian Bayesian Network Learning and Inference with Mixed Discrete and Continuous DataPLoS Computational Biology, 2014
- MicroRNA‐10a controls airway smooth muscle cell proliferationviadirect targeting of the PI3 kinase pathwayThe FASEB Journal, 2014
- miRBase: annotating high confidence microRNAs using deep sequencing dataNucleic Acids Research, 2013
- Patterns of inhaled corticosteroid use and asthma control in the Childhood Asthma Management Program Continuation StudyAnnals of Allergy, Asthma & Immunology, 2010
- The Childhood Asthma Management Program (CAMP): Design, Rationale, and MethodsControlled Clinical Trials, 1999
- Bayes FactorsJournal of the American Statistical Association, 1995