PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypes
High-throughput data such as metabolomics, genomics, transcriptomics, and proteomics have become familiar data types within the “-omics” family. For this work, we focus on subsets that interact with one another and represent these “pathways” as graphs. Observed pathways often have disjoint component...
Guardado en:
Autores principales: | Charlie M. Carpenter, Weiming Zhang, Lucas Gillenwater, Cameron Severn, Tusharkanti Ghosh, Russell Bowler, Katerina Kechris, Debashis Ghosh |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/9dd656448a8744ffa1cf7eae39132c65 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypes.
por: Charlie M Carpenter, et al.
Publicado: (2021) -
Deconvoluting kernel density estimation and regression for locally differentially private data
por: Farhad Farokhi
Publicado: (2020) -
Global metabolome profiling of exhaled breath condensates in male smokers with asthma COPD overlap and prediction of the disease
por: Nilanjana Ghosh, et al.
Publicado: (2021) -
Metabolomic similarities between bronchoalveolar lavage fluid and plasma in humans and mice
por: Charmion Cruickshank-Quinn, et al.
Publicado: (2017) -
Spectral bias and task-model alignment explain generalization in kernel regression and infinitely wide neural networks
por: Abdulkadir Canatar, et al.
Publicado: (2021)