e-learning
resources
ERS Research Seminars
2015
Login
Search all ERS
e-learning
resources
Disease Areas
Airways Diseases
Interstitial Lung Diseases
Respiratory Critical Care
Respiratory Infections
Paediatric Respiratory Diseases
Pulmonary Vascular Diseases
Sleep and Breathing Disorders
Thoracic Oncology
Events
International Congress
Courses
Webinars
Conferences
Research Seminars
Journal Clubs
Publications
Breathe
Monograph
ERJ
ERJ Open Research
ERR
European Lung White Book
Handbook Series
Guidelines
All ERS guidelines
e-learning
CME Online
Case reports
Short Videos
SpirXpert
Procedure Videos
CME tests
Reference Database of Respiratory Sounds
Radiology Image Challenge
Brief tobacco interventions
EU Projects
VALUE-Dx
ERN-LUNG
ECRAID
UNITE4TB
Disease Areas
Events
Publications
Guidelines
e-learning
EU Projects
Login
Search
Network-based gene-set enrichment analysis
Rosa Faner Canet (Barcelona, Spain)
Source:
ERS Research Seminar 2015
Number:
7
Rating:
You must
login
to grade this presentation.
Share or cite this content
Citations should be made in the following way:
Rosa Faner Canet (Barcelona, Spain). Network-based gene-set enrichment analysis. ERS Research Seminar 2015
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:
Panel discussion: Lung function in epidemiological studies from infancy to childhood with focus on urban environment
Observational cohort study of pulmonary exacerbations in alpha-1 antitrypsin deficiency
Asbestosis
Related content which might interest you:
The best statistical approaches for analysis of GWIS
Source: ERS Research Seminar 2015
Year: 2015
LSC Abstract – Unsupervised gene co-expression analysis identifies a novel endotype in severe asthma
Source: International Congress 2016 – Novel insights into alveolar and bronchial epithelial cell injury and repair
Year: 2016
Gene ontology
Source: Lung Science Conference 2005 - Evidence-based medicine for respiratory disease with special emphasis on inflammatory processes
Year: 2005
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
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
Identification of disease genes by expression profiling
Source: Eur Respir J 2001; 18: 882-889
Year: 2001
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
Quantitative proteomic analysis: methods and applications
Source: Lung Science Conference 2004 - Application of our knowledge of the basic processes of lung inflammation in lung diseases
Year: 2004
Metabolomic profiling differences among asthma, COPD and healthy controls: a LC-MS-based metabolomics analysis
Source: International Congress 2019 – Evaluation of basic science in airway diseases
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
Metabolomic analyses reveal new stage-specific features of COVID-19
Source: Eur Respir J, 59 (2) 2100284; 10.1183/13993003.00284-2021
Year: 2022
Integrated analysis of COPD gene expression data reveals specific pathway signatures
Source: Annual Congress 2010 - Genetics of obstruction
Year: 2010
Gene expression profiling of lung adenocarcinoma by microarray analysis
Source: Eur Respir J 2005; 26: Suppl. 49, 93s
Year: 2005
Integration of multi-omics datasets enables molecular classification of COPD
Source: Eur Respir J, 51 (5) 1701930; 10.1183/13993003.01930-2017
Year: 2018
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
A pooling based genome-wide analysis identifies new potential candidate genes for atopy in the echrs study
Source: Annual Congress 2009 - Asthma genetics: from genome wide to single nucleotide polymorphisms
Year: 2009
MiRNA profiling and target validation in a murine asthma model
Source: Annual Congress 2010 - Asthma: basic science and clinical studies
Year: 2010
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking "Accept", you consent to the use of the cookies.
Accept