Cargando…
Joint Microbial and Metabolomic Network Estimation with the Censored Gaussian Graphical Model
Joint analysis of microbiome and metabolomic data represents an imperative objective as the field moves beyond basic microbiome association studies and turns towards mechanistic and translational investigations. We present a censored Gaussian graphical model framework, where the metabolomic data are...
Autor principal: | Ma, Jing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223740/ https://www.ncbi.nlm.nih.gov/pubmed/34178165 http://dx.doi.org/10.1007/s12561-020-09294-z |
Ejemplares similares
-
Joint estimation of multiple dependent Gaussian graphical models with
applications to mouse genomics
por: Xie, Yuying, et al.
Publicado: (2016) -
Penalized estimation of the Gaussian graphical model from data with replicates
por: van Wieringen, Wessel N., et al.
Publicado: (2021) -
Regularized estimation of large-scale gene association networks using graphical Gaussian models
por: Krämer, Nicole, et al.
Publicado: (2009) -
Joint conditional Gaussian graphical models with multiple sources of genomic data
por: Chun, Hyonho, et al.
Publicado: (2013) -
Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data
por: Krumsiek, Jan, et al.
Publicado: (2011)