Eicosanoids in asthma: multi-omics data interpretation

A. Mazein (Lyon, France)

Source: ERS Lung Science Conference 2016
Number: 4
Disease area: Airway diseases

PDF journal article, handout or slidesPDF journal article, handout or slides

Rating: 0
You must login to grade this presentation.

Share or cite this content

Citations should be made in the following way:
A. Mazein (Lyon, France). Eicosanoids in asthma: multi-omics data interpretation. ERS Lung Science Conference 2016

You must login to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.

Member's Comments

No comment yet.
You must Login to comment this presentation.

Related content which might interest you:
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

New sources of data in paediatric asthma: towards big data from multiple sources in children with asthma
Source: Virtual Congress 2021 – New technologies for the management of children with respiratory diseases
Year: 2021

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

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

New uses of data: from big data to artificial intelligence and clinical decision tools  in children with respiratory diseases
Source: Virtual Congress 2021 – New technologies for the management of children with respiratory diseases
Year: 2021

Unbiased cluster analysis of severe asthma based on metabolomics by the U-BIOPRED electronic nose platform
Source: Annual Congress 2013 –Asthma and COPD: diseases with different phenotypes
Year: 2013

Predicting childhood allergy using machine learning methods on multi-omics data
Source: Virtual Congress 2021 – Biomarkers and risk factors in childhood asthma
Year: 2021

Integration of multi-omics datasets enables molecular classification of COPD
Source: Eur Respir J, 51 (5) 1701930; 10.1183/13993003.01930-2017
Year: 2018

Sputum proteomics and airway cell transcripts of current and ex-smokers with severe asthma in U-BIOPRED: an exploratory analysis
Source: Eur Respir J, 51 (5) 1702173; 10.1183/13993003.02173-2017
Year: 2018

U-BIOPRED accessible handprint: combining omics platforms to identify stable asthma subphenotypes
Source: International Congress 2018 – Biomarkers in COPD and asthma
Year: 2018

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

Deconvolution of the sputum transcriptome and methylome by quadratic programming in asthma and COPD
Source: Virtual Congress 2021 – New insights into the airway immunology of lung disease
Year: 2021

Important attributes of COPD exacerbations: a conjoint analysis
Source: Eur Respir J 2004; 24: Suppl. 48, 514s
Year: 2004

Is data quality more important than data quantity in the diagnosis of occupational asthma from serial PEF records?
Source: Annual Congress 2010 - Occupational and environmental exposures and respiratory disease
Year: 2010

Statistics in respiratory research: from data to application
Source: ERS Course 2015
Year: 2015

Genetics, genomics and a systems approach to asthma
Source: Annual Congress 2008 - “Omics” and systems biology: the promise of future disease understanding
Year: 2008

The identification of asthma phenotypes by categorical PCA: Combinatorial analysis of clinical parameters and dysfunctional blood eosinophils
Source: International Congress 2014 – Non inflammatory monitoring of airway diseases
Year: 2014

Students' knowledge of bronchial asthma: ASSA-1 and ASSA-2 results comparison
Source: International Congress 2019 – Medical education
Year: 2019