Source: Eur Respir J, 51 (5) 1701930; 10.1183/13993003.01930-2017
Disease area: Airway diseases



Rating:

Share or cite this content

Citations should be made in the following way:
Chuan-Xing Li, Craig E. Wheelock, C. Magnus Sköld, Åsa M. Wheelock. Integration of multi-omics datasets enables molecular classification of COPD. Eur Respir J, 51 (5) 1701930; 10.1183/13993003.01930-2017

Member's Comments

No comment yet.

Related content which might interest you: Integration at the network- and pathway level of multi-omics data from multiple anatomical locations facilitate COPD sub-phenotyping in small cohorts Source: International Congress 2017 – Novel molecular and genetic targets in COPD Year: 2017 A multi-omics data integration approach to identify a predictive molecular signature of CLAD Source: International Congress 2015 – Predictors of lung transplant complications Year: 2015 A data management and analysis platform for RASP-UK multiomics clinical datasets Source: Virtual Congress 2021 – Exacerbations of chronic respiratory diseases, including SARS-CoV-2 Year: 2021 U-BIOPRED accessible handprint: combining omics platforms to identify stable asthma subphenotypes Source: International Congress 2018 – Biomarkers in COPD and asthma Year: 2018 2D cross-omics integrated enrichment analysis reveals insights into COPD pathogenesis Source: International Congress 2017 – New Mechanistic Findings in COPD Year: 2017 Integration of transcriptomics and metabolomics with microbiomic data to identify host-microbiota interactions Source: International Congress 2019 – PG16 Assessment and analysis of the lung microbiome Year: 2019 High-throughput analysis of induced sputum from the U-BIOPRED study using novel proteomic and data mining approaches Source: Annual Congress 2013 –Origins and diagnosis of asthma Year: 2013 Similarity network fusion for the integration of multi-omics and microbiomes in respiratory disease Source: Eur Respir J, 58 (2) 2101016; 10.1183/13993003.01016-2021 Year: 2021 Further resolution of non-T2 asthma subtypes from high-throughput sputum transciptomics data in U-BIOPRED Source: International Congress 2018 – Innovative therapies in asthma and COPD Year: 2018 Enabling an interstitial lung disease genomic classifier on an automated platform Source: Virtual Congress 2021 – Translational and other aspects of idiopathic interstitial pneumonia Year: 2021 Integrating fingerprints: molecular phenotyping of severe asthma Source: International Congress 2015 – Fingerprinting severe asthma Year: 2015 A simple algorithm for the identification of clinical COPD phenotypes Source: Eur Respir J, 50 (5) 1701034; 10.1183/13993003.01034-2017 Year: 2017 Establishment of an integrated clinical network and comprehensive data warehouse for the conduct of comparative effectiveness research in COPD Source: Annual Congress 2011 - COPD: integrated care and rehabilitation Year: 2011 High-throughput molecular analysis in lung cancer: insights into biology and potential clinical applications Source: Eur Respir J 2009; 33: 489-506 Year: 2009 Non-targeted integrative multi-omics approaches on sputum reveal potential diagnostic and monitoring biomarkers for respiratory diseases Source: International Congress 2017 – Novel molecular and genetic targets in COPD Year: 2017 Integrated omics predicts clinical outcomes Source: International Congress 2014 – PG12 The omics revolution: the future of personalised medicine Year: 2014 A comparison of unsupervised methods based on dichotomous data to identify clusters of airways symptoms: latent class analysis and partitioning around medoids methods. Source: International Congress 2018 – Airway disease: recent discoveries Year: 2018 COPD prediction by using imaging and genetic profiles Source: International Congress 2014 – Pathways to personalised medicine in obstructive lung disease Year: 2014 Integrative clustering analysis to discover novel IPF disease subtypes in the IPF-PRO Registry Source: Virtual Congress 2020 – Biomarkers and mechanistic aspects of idiopathic pulmonary fibrosis Year: 2020 An integrative genomics approach identifies new asthma pathways related to air pollution exposure Source: International Congress 2015 – Genetics, genomics and exposures in asthma and COPD Year: 2015