Usefulness and limitations of dK random graph models to predict interactions and functional homogeneity in biological networks under a pseudo-likelihood parameter estimation approach

BACKGROUND: Many aspects of biological functions can be modeled by biological networks, such as protein interaction networks, metabolic networks, and gene coexpression networks. Studying the statistical properties of these networks in turn allows us to infer biological function. Complex statistical...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Wenhui, Nunez-Iglesias, Juan, Luan, Yihui, Sun, Fengzhu
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2755484/
https://www.ncbi.nlm.nih.gov/pubmed/19728875
http://dx.doi.org/10.1186/1471-2105-10-277

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2755484/
https://www.ncbi.nlm.nih.gov/pubmed/19728875
http://dx.doi.org/10.1186/1471-2105-10-277

Ejemplares similares