Cargando…
Motif-directed network component analysis for regulatory network inference
BACKGROUND: Network Component Analysis (NCA) has shown its effectiveness in discovering regulators and inferring transcription factor activities (TFAs) when both microarray data and ChIP-on-chip data are available. However, a NCA scheme is not applicable to many biological studies due to limited top...
Autores principales: | Wang, Chen, Xuan, Jianhua, Chen, Li, Zhao, Po, Wang, Yue, Clarke, Robert, Hoffman, Eric |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2259422/ https://www.ncbi.nlm.nih.gov/pubmed/18315853 http://dx.doi.org/10.1186/1471-2105-9-S1-S21 |
Ejemplares similares
-
Inferring transcription factor collaborations in gene regulatory networks
por: Awad, Sherine, et al.
Publicado: (2014) -
Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
por: Li, Peng, et al.
Publicado: (2007) -
Generation and application of drug indication inference models using typed network motif comparison analysis
por: Choi, Jaejoon, et al.
Publicado: (2013) -
Computational inference and analysis of genetic regulatory networks via a supervised combinatorial-optimization pattern
por: Tang, Binhua, et al.
Publicado: (2010) -
An estimation method for inference of gene regulatory net-work using Bayesian network with uniting of partial problems
por: Watanabe, Yukito, et al.
Publicado: (2012)