Uncovering Gene Regulatory Networks from Time-Series Microarray Data with Variational Bayesian Structural Expectation Maximization

We investigate in this paper reverse engineering of gene regulatory networks from time-series microarray data. We apply dynamic Bayesian networks (DBNs) for modeling cell cycle regulations. In developing a network inference algorithm, we focus on soft solutions that can provide a posteriori probabil...

Descrición completa

Gardado en:
Detalles Bibliográficos
Main Authors: Luna, Isabel Tienda, Huang, Yufei, Yin, Yufang, Padillo, Diego P Ruiz, Perez, M Carmen Carrion
Formato: Artigo
Idioma:Inglês
Publicado: Springer 2007
Assuntos:
Research Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC3171349/
https://ncbi.nlm.nih.gov/pubmed/18309364
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2007/71312
Tags: Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

Títulos similares