Multi-omics subtyping pipeline for chronic obstructive pulmonary disease.
Chronic Obstructive Pulmonary Disease (COPD) is the third leading cause of mortality in the United States; however, COPD has heterogeneous clinical phenotypes. This is the first large scale attempt which uses transcriptomics, proteomics, and metabolomics (multi-omics) to determine whether there are...
Guardado en:
Autores principales: | Lucas A Gillenwater, Shahab Helmi, Evan Stene, Katherine A Pratte, Yonghua Zhuang, Ronald P Schuyler, Leslie Lange, Peter J Castaldi, Craig P Hersh, Farnoush Banaei-Kashani, Russell P Bowler, Katerina J Kechris |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/720ad2983d46440eb08aaa313bff75a2 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Aptardi predicts polyadenylation sites in sample-specific transcriptomes using high-throughput RNA sequencing and DNA sequence
por: Ryan Lusk, et al.
Publicado: (2021) -
PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypes.
por: Charlie M Carpenter, et al.
Publicado: (2021) -
PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypes
por: Charlie M. Carpenter, et al.
Publicado: (2021) -
Evaluation and comparison of multi-omics data integration methods for cancer subtyping.
por: Ran Duan, et al.
Publicado: (2021) -
Improving existing analysis pipeline to identify and analyze cancer driver genes using multi-omics data
por: Quang-Huy Nguyen, et al.
Publicado: (2020)