Cargando…
Dynamic gene network reconstruction from gene expression data in mice after influenza A (H1N1) infection
BACKGROUND: The immune response to viral infection is a temporal process, represented by a dynamic and complex network of gene and protein interactions. Here, we present a reverse engineering strategy aimed at capturing the temporal evolution of the underlying Gene Regulatory Networks (GRN). The pro...
Autores principales: | Dimitrakopoulou, Konstantina, Tsimpouris, Charalampos, Papadopoulos, George, Pommerenke, Claudia, Wilk, Esther, Sgarbas, Kyriakos N, Schughart, Klaus, Bezerianos, Anastasios |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3219564/ https://www.ncbi.nlm.nih.gov/pubmed/22017961 http://dx.doi.org/10.1186/2043-9113-1-27 |
Ejemplares similares
-
Growing functional modules from a seed protein via integration of protein interaction and gene expression data
por: Maraziotis, Ioannis A, et al.
Publicado: (2007) -
An in silico method for detecting overlapping functional modules from composite biological networks
por: Maraziotis, Ioannis A, et al.
Publicado: (2008) -
Integromics network meta-analysis on cardiac aging offers robust multi-layer modular signatures and reveals micronome synergism
por: Dimitrakopoulou, Konstantina, et al.
Publicado: (2015) -
RNAseq expression analysis of resistant and susceptible mice after influenza A virus infection identifies novel genes associated with virus replication and important for host resistance to infection
por: Wilk, Esther, et al.
Publicado: (2015) -
Global Transcriptome Analysis in Influenza-Infected Mouse Lungs Reveals the Kinetics of Innate and Adaptive Host Immune Responses
por: Pommerenke, Claudia, et al.
Publicado: (2012)