Cargando…
A general computational method for robustness analysis with applications to synthetic gene networks
Motivation: Robustness is the capacity of a system to maintain a function in the face of perturbations. It is essential for the correct functioning of natural and engineered biological systems. Robustness is generally defined in an ad hoc, problem-dependent manner, thus hampering the fruitful develo...
Autores principales: | Rizk, Aurélien, Batt, Gregory, Fages, François, Soliman, Sylvain |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2687954/ https://www.ncbi.nlm.nih.gov/pubmed/19477984 http://dx.doi.org/10.1093/bioinformatics/btp200 |
Ejemplares similares
-
Modeling stochasticity and robustness in gene regulatory networks
por: Garg, Abhishek, et al.
Publicado: (2009) -
Constrained mixture estimation for analysis and robust classification of clinical time series
por: Costa, Ivan G., et al.
Publicado: (2009) -
From disease ontology to disease-ontology lite: statistical methods to adapt a general-purpose ontology for the test of gene-ontology associations
por: Du, Pan, et al.
Publicado: (2009) -
Predicting functionality of protein–DNA interactions by integrating diverse evidence
por: Ucar, Duygu, et al.
Publicado: (2009) -
Probabilistic retrieval and visualization of biologically relevant microarray experiments
por: Caldas, José, et al.
Publicado: (2009)