Cargando…
Inferring the conservative causal core of gene regulatory networks
BACKGROUND: Inferring gene regulatory networks from large-scale expression data is an important problem that received much attention in recent years. These networks have the potential to gain insights into causal molecular interactions of biological processes. Hence, from a methodological point of v...
Autores principales: | Altay, Gökmen, Emmert-Streib, Frank |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2955605/ https://www.ncbi.nlm.nih.gov/pubmed/20920161 http://dx.doi.org/10.1186/1752-0509-4-132 |
Ejemplares similares
-
Structural influence of gene networks on their inference: analysis of C3NET
por: Altay, Gökmen, et al.
Publicado: (2011) -
Statistical Inference and Reverse Engineering of Gene Regulatory Networks from Observational Expression Data
por: Emmert-Streib, Frank, et al.
Publicado: (2012) -
Netmes: Assessing Gene Network Inference Algorithms by Network-Based Measures
por: Altay, Gökmen, et al.
Publicado: (2014) -
Influence of the experimental design of gene expression studies on the inference of gene regulatory networks: environmental factors
por: Emmert-Streib, Frank
Publicado: (2013) -
Influence of Statistical Estimators of Mutual Information and Data Heterogeneity on the Inference of Gene Regulatory Networks
por: de Matos Simoes, Ricardo, et al.
Publicado: (2011)