Grouped graphical Granger modeling for gene expression regulatory networks discovery

We consider the problem of discovering gene regulatory networks from time-series microarray data. Recently, graphical Granger modeling has gained considerable attention as a promising direction for addressing this problem. These methods apply graphical modeling methods on time-series data and invoke...

Descripción completa

Detalles Bibliográficos
Autores principales: Lozano, Aurélie C., Abe, Naoki, Liu, Yan, Rosset, Saharon
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Ismb/Eccb 2009 Conference Proceedings June 27 to July 2, 2009, Stockholm, Sweden
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2687953/
https://www.ncbi.nlm.nih.gov/pubmed/19477976
http://dx.doi.org/10.1093/bioinformatics/btp199

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2687953/
https://www.ncbi.nlm.nih.gov/pubmed/19477976
http://dx.doi.org/10.1093/bioinformatics/btp199

Ejemplares similares