An Augmented High-Dimensional Graphical Lasso Method to Incorporate Prior Biological Knowledge for Global Network Learning

Biological networks are often inferred through Gaussian graphical models (GGMs) using gene or protein expression data only. GGMs identify conditional dependence by estimating a precision matrix between genes or proteins. However, conventional GGM approaches often ignore prior knowledge about protein...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhuang, Yonghua, Xing, Fuyong, Ghosh, Debashis, Banaei-Kashani, Farnoush, Bowler, Russell P., Kechris, Katerina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829118/
https://www.ncbi.nlm.nih.gov/pubmed/35154240
http://dx.doi.org/10.3389/fgene.2021.760299

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829118/
https://www.ncbi.nlm.nih.gov/pubmed/35154240
http://dx.doi.org/10.3389/fgene.2021.760299

Ejemplares similares