Cargando…
Identifying Protein–metabolite Networks Associated with COPD Phenotypes
Chronic obstructive pulmonary disease (COPD) is a disease in which airflow obstruction in the lung makes it difficult for patients to breathe. Although COPD occurs predominantly in smokers, there are still deficits in our understanding of the additional risk factors in smokers. To gain a deeper unde...
Autores principales: | Mastej, Emily, Gillenwater, Lucas, Zhuang, Yonghua, Pratte, Katherine A., Bowler, Russell P., Kechris, Katerina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241079/ https://www.ncbi.nlm.nih.gov/pubmed/32218378 http://dx.doi.org/10.3390/metabo10040124 |
Ejemplares similares
-
TreeKernel: interpretable kernel machine tests for interactions between -omics and clinical predictors with applications to metabolomics and COPD phenotypes
por: Carpenter, Charlie M., et al.
Publicado: (2023) -
Identifying miRNA-mRNA Networks Associated With COPD Phenotypes
por: Zhuang, Yonghua, et al.
Publicado: (2021) -
PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypes
por: Carpenter, Charlie M., et al.
Publicado: (2021) -
Bronchoalveolar Lavage Fluid from COPD Patients Reveals More Compounds Associated with Disease than Matched Plasma
por: Halper-Stromberg, Eitan, et al.
Publicado: (2019) -
Multi-omics subtyping pipeline for chronic obstructive pulmonary disease
por: Gillenwater, Lucas A., et al.
Publicado: (2021)