A strategy for high‐dimensional multivariable analysis classifies childhood asthma phenotypes from genetic, immunological, and environmental factors
暂无分享,去创建一个
Fabian J Theis | D. Ankerst | Christiane Fuchs | B. Schaub | A. Böck | Norbert Krautenbacher | Nicolai Flach | Kristina Laubhahn | M. Laimighofer | K. Laubhahn
[1] Lori J Sokoll,et al. Prostate Cancer Prevention Trial risk calculator 2.0 for the prediction of low- vs high-grade prostate cancer. , 2014, Urology.
[2] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[3] D. Vercelli. Gene–environment interactions in asthma and allergy: the end of the beginning? , 2010, Current opinion in allergy and clinical immunology.
[4] G. Anderson,et al. Endotyping asthma: new insights into key pathogenic mechanisms in a complex, heterogeneous disease , 2008, The Lancet.
[5] Mike Thomas,et al. Cluster analysis and clinical asthma phenotypes. , 2008, American journal of respiratory and critical care medicine.
[6] A. Dupuy,et al. Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting. , 2007, Journal of the National Cancer Institute.
[7] Stef van Buuren,et al. MICE: Multivariate Imputation by Chained Equations in R , 2011 .
[8] J. Alcorn,et al. A Multiomics Approach to Identify Genes Associated with Childhood Asthma Risk and Morbidity , 2017, American journal of respiratory cell and molecular biology.
[9] Anne-Laure Boulesteix,et al. Over-optimism in bioinformatics: an illustration , 2010, Bioinform..
[10] Janet Stocks,et al. An official American Thoracic Society/European Respiratory Society statement: pulmonary function testing in preschool children. , 2007, American journal of respiratory and critical care medicine.
[11] J. Parsons,et al. Src family protein tyrosine kinases: cooperating with growth factor and adhesion signaling pathways. , 1997, Current opinion in cell biology.
[12] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2001, Springer Series in Statistics.
[13] M. Ege,et al. Clinical and epidemiologic phenotypes of childhood asthma. , 2013, American journal of respiratory and critical care medicine.
[14] Xiaoyu Jiang,et al. IPF-LASSO: Integrative L 1-Penalized Regression with Penalty Factors for Prediction Based on Multi-Omics Data , 2017, Comput. Math. Methods Medicine.
[15] Yogasudha Veturi,et al. Increased Proportion of Variance Explained and Prediction Accuracy of Survival of Breast Cancer Patients with Use of Whole-Genome Multiomic Profiles , 2016, Genetics.
[16] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[17] D. Strachan,et al. Worldwide time trends in the prevalence of symptoms of asthma, allergic rhinoconjunctivitis, and eczema in childhood: ISAAC Phases One and Three repeat multicountry cross-sectional surveys , 2006, The Lancet.
[18] Qing Zhao,et al. Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA , 2015, Briefings Bioinform..
[19] W. Busse,et al. Endotypes of difficult-to-control asthma in inner-city African American children , 2017, PloS one.
[20] Carole Ober,et al. The genetics of asthma and allergic disease: a 21st century perspective , 2011, Immunological reviews.
[21] Raphael Gottardo,et al. Orchestrating high-throughput genomic analysis with Bioconductor , 2015, Nature Methods.
[22] B. Schaub,et al. The puzzle of immune phenotypes of childhood asthma , 2016, Molecular and Cellular Pediatrics.
[23] T. Illig,et al. Identification of novel immune phenotypes for allergic and nonallergic childhood asthma. , 2015, The Journal of allergy and clinical immunology.
[24] Florence Demenais,et al. A large-scale, consortium-based genomewide association study of asthma. , 2010, The New England journal of medicine.
[25] C. Reinero,et al. The potential use of tyrosine kinase inhibitors in severe asthma , 2012, Current opinion in allergy and clinical immunology.
[26] E. Kerwin,et al. Randomized, double-blind, placebo-controlled study of brodalumab, a human anti-IL-17 receptor monoclonal antibody, in moderate to severe asthma. , 2013, American journal of respiratory and critical care medicine.
[27] A. Magnan,et al. Allergic vs nonallergic asthma: what makes the difference? , 2002, Allergy.
[28] Axel Benner,et al. Integrating multiple molecular sources into a clinical risk prediction signature by extracting complementary information , 2016, BMC Bioinformatics.
[29] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..
[30] J. Gris,et al. Polymorphisms of human placental alkaline phosphatase are associated with in vitro fertilization success and recurrent pregnancy loss. , 2014, The American journal of pathology.
[31] Richard G. F. Visser,et al. Integration of multi-omics data for prediction of phenotypic traits using random forest , 2016, BMC Bioinformatics.
[32] A. Hall,et al. The Rho Target PRK2 Regulates Apical Junction Formation in Human Bronchial Epithelial Cells , 2010, Molecular and Cellular Biology.