Source: Eur Respir J, 58 (2) 2101016; 10.1183/13993003.01016-2021



Rating:

Share or cite this content

Citations should be made in the following way:
Jayanth Kumar Narayana, Micheál Mac Aogáin, Nur A'tikah Binte Mohamed Ali, Krasimira Tsaneva-Atanasova, Sanjay H. Chotirmall. Similarity network fusion for the integration of multi-omics and microbiomes in respiratory disease. Eur Respir J, 58 (2) 2101016; 10.1183/13993003.01016-2021

Member's Comments

No comment yet.

Related content which might interest you: Integration of multi-omics datasets enables molecular classification of COPD Source: Eur Respir J, 51 (5) 1701930; 10.1183/13993003.01930-2017 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 How can the data derived Bayesian network model help for screening of respiratory diseases? Source: International Congress 2019 – Innovations in primary care assessment and management Year: 2019 Dynamics of the human microbiome network Source: International Congress 2018 – Microorganisms and lung ecology: living in peace with bugs Year: 2018 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 Community analysis and co-occurrence patterns in airway microbial communities during health and disease Source: ERJ Open Res, 5 (3) 00128-2017; 10.1183/23120541.00128-2017 Year: 2019 The airway ‘resistome’ in chronic respiratory disease: a metagenomics approach Source: International Congress 2019 – The microbiome: novel data across respiratory diseases Year: 2019 Investigation and functional enrichment analysis of the human gene interaction network with common gram-negative respiratory pathogens predicts possible association with lung adenocarcinoma. Source: International Congress 2019 – Crosstalk in chronic pulmonary diseases Year: 2019 Functional lower airways genomic profiling of the microbiome to capture active microbial metabolism Source: Eur Respir J, 58 (1) 2003434; 10.1183/13993003.03434-2020 Year: 2021 Characterising the respiratory microbiome Source: Eur Respir J, 53 (2) 1801711; 10.1183/13993003.01711-2018 Year: 2019 From culturomics to metagenomics: the mycobiome in chronic respiratory diseases Source: Eur Respir Monogr 2019; 83: 88-118 Year: 2019 Variation of microbiota in COPD patients during exacerbation and posterior stabilization: molecular characterization by metagenomic. Source: International Congress 2017 – COPD: microbiome composition and the role of antibiotics Year: 2017 The respiratory physiome: clustering based on a comprehensive lung function assessment in patients with COPD Source: International Congress 2018 – The value of lung function testing in various pathophysiological conditions Year: 2018 “Integrative microbiomics” reveals a disrupted interactome in bronchiectasis exacerbations Source: Virtual Congress 2020 – Bronchiectasis: epidemiology, endotyping and therapy Year: 2020 Co-occurrence analysis relates a macrolide resistome to the pulmonary microbiome in chronic respiratory disease Source: Virtual Congress 2020 – Airway infection: the microbiome and beyond Year: 2020 Maturation of microbial networks across body sites is associated with susceptibility to childhood respiratory infections Source: International Congress 2019 – Novel findings in paediatric respiratory infections Year: 2019 Applying clinical metagenomics for the detection and characterisation of respiratory infections Source: Eur Respir Monogr 2019; 83: 35-49 Year: 2019 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