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The primary advance of Saez-Rodriguez et al. (25) is the development of a formal method for optimizing logic-based models against experimental data, implemented in CellNetOptimizer.
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Papers on quantitative evaluations of RH programs, including experimental and non-experimental designs that reported outcome data, implemented in conflict and natural disaster settings, were included.
An experimental performance comparison was carried out against the traditional relational data model implemented in both MySQL Cluster and MongoDB, using a large publicly available transcriptomic data set taken from NCBI GEO concerning Multiple Myeloma.
Gene expression data were implemented in the apoptosis pathway model.
The experimental system is implemented in C++.
The study was a pretest-posttest quasi-experimental design implemented in Burundi.
We reasoned that a predictive model, predicated on experimental data, could be implemented as an index of functional outcomes in multiple CM allele inheritance.
Moreover, we implemented collection function of experimental data in order to make easier the experimenter's work.
The model has been implemented, verified, and validated against experimental data available in the literature for copper powder compounds.
The model was created to reproduce the normalized experimental data mentioned in Materials and Methods and was implemented with MATLAB 5.1 (The Mathworks, Inc). on an AMD Opteron 2.2GHz workstation running SuSE Linux Enterprise Server 9 (Novell).
We normalized data using gcRMA implemented in R [52].
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