Article

Development and validation of asthma risk prediction models using co- expression gene modules and machine learning methods

2022-09-29

Abstract excerpt

Asthma is a chronic inflammatory disease of the airways with a strong genetic component. Because multiple genes may affect asthma, identifying differentially co-expressed genes followed by functional annotation can inform our understanding of the molecular mechanisms in asthma pathogenesis. In this study, we used airway epithelial cells (AECs) and nasal epithelial cells (NECs) datasets and implemented weighted gen...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: fdc4a9a4-7543-503a-8e68-235c086839ac
DOI: 10.21203/rs.3.rs-2098680/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Development and validation of asthma risk prediction models using co- expression gene modules and machine learning methodsDOI 10.21203/rs.3.rs-2098680/v1Read

Development and validation of asthma risk prediction models using co-expression gene modules and machine learning methodsSemantic proximity Read

Identifying key genes and functionally enriched pathways in Th2-high asthma by weighted gene co-expression network analysisSemantic proximity Read

Weighted gene co-expression network analysis to identify key modules and hub genes associated with paucigranulocytic asthma.Semantic proximity Read

Identifying Key Genes and Functionally Enriched Pathways in Th2-high Asthma by Weighted Gene Co-Expression Network AnalysisSemantic proximity Read

Identification of Biomarkers and Pathogenesis in Severe Asthma by Co-expression Network AnalysisSemantic proximity Read

Identification of surrogate prognostic biomarkers for allergic asthma in nasal epithelial brushing samples by WGCNASemantic proximity Read

Identification of key modules and hub genes for eosinophilic asthma by weighted gene co-expression network analysis.Semantic proximity Read

Identification of biomarkers and pathogenesis in severe asthma by coexpression network analysisSemantic proximity Read

Integrative weighted molecular network construction from transcriptomics and genome wide association data to identify shared genetic biomarkers for COPD and lung cancerSemantic proximity Read

Identification of hub genes and key pathways in the emphysema phenotype of COPDSemantic proximity Read

Network-based analysis reveals novel gene signatures in peripheral blood of patients with chronic obstructive pulmonary diseaseSemantic proximity Read

Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysisSemantic proximity Read