About: Optimal design of non-equilibrium experiments for genetic network interrogation

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About: Optimal design of non-equilibrium experiments for genetic network interrogation Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Optimal design of non-equilibrium experiments for genetic network interrogation
Creator	Adoteye, Kaska Banks, H Flores, Kevin
Source	Elsevier; Medline; PMC
abstract	Abstract Many experimental systems in biology, especially synthetic gene networks, are amenable to perturbations that are controlled by the experimenter. We developed an optimal design algorithm that calculates optimal observation times in conjunction with optimal experimental perturbations in order to maximize the amount of information gained from longitudinal data derived from such experiments. We applied the algorithm to a validated model of a synthetic Brome Mosaic Virus (BMV) gene network and found that optimizing experimental perturbations may substantially decrease uncertainty in estimating BMV model parameters.
has issue date	2015-02-28(xsd:dateTime)
bibo:doi	10.1016/j.aml.2014.09.013
bibo:pmid	25558126
has license	els-covid
sha1sum (hex)	6b29f000c6ac9d183c54241b70b8fcb33dc335ae
schema:url	https://doi.org/10.1016/j.aml.2014.09.013
resource representing a document's title	Optimal design of non-equilibrium experiments for genetic network interrogation
has PubMed Central identifier	PMC4281269
has PubMed identifier	25558126
schema:publication	Applied Mathematics Letters
resource representing a document's body	covid:6b29f000c6ac9d183c54241b70b8fcb33dc335ae#body_text
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