As interpretation and use of available experimental data depend on the model structure, techniques for design of experiments for selection of the best model are of fundamental importance.
In a previous experiment for dose selection, we conducted an acute toxicity study with three dose levels of 1250, 2500, and 5000 mg/kg.
We often describe experiments by relating their motives (ie, adaptation and innovation), but complex systems see only experiments available for selection.
In classical statistics, ensemble non-centrality constitutes the reference technique to design experiments for model selection (Atkinson and Fedorov, 1975; Ponce De Leon and Atkinson, 1991; Skanda and Lebiedz, 2012).
As a consequence of previous results from submodular optimization (Feige, 1998; Krause and Guestrin, 2005; Nemhauser et al., 1978), we could prove that the greedy method exhibits the best constant approximation factor (unless P = NP) to design experiments for the selection among alternative dynamical systems.
Experiments for the selection of genetically resistant animals can be traced back as early as the 1930's [ 4, 5] and the first step was the demonstration that distinct disease resistances or susceptibilities exist between different lines or breeds of chicken.
Studies that were randomised control trials (RCTs), quasi-experimental and natural experiments were eligible for selection.
The score enables the user to make an informed judgement on the reliability of results obtained from experiments within GPX-MEA and allows for experiment selection based on quality requirements.
Briefly, cells were grown at 30° in YEPD (or SD for experiments requiring selection for a plasmid), with shaking, to OD600 of 0.6.
Muir [ 10], for example, conducted a selection experiment for egg production in cannibalistic laying hens using group selection, and managed to increase egg production from 91 to 237 eggs per hen, largely as result of improved survival.
