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It is thus given as: gamma_{text{API}} = frac{141.5}{{gamma_{text{o}} }} - 131.5 (2)Correlations for μ od usually introduce large errors when applied to data sets which are different from the ones used to develop the original correlations.
Hence, the discovered signatures do not generalize and perform poorly when classifying datasets other than the ones used to develop the methods.
Although our validation has been undertaken in a separate set of patients and practices from the ones used to develop the models, they all use the same clinical computer system (Egton Medical Information Systems, EMIS).
Before a clinical risk score can be reliably used in clinical practice, evidence is needed that it can successfully predict the intended outcome in groups of patients other than ones used to develop the score but similar to ones in whom the score might be used.
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The concept applied was identical to the one used to develop transgenic mice and relied on the expression of one or several mutated human genes involved in the familial form of AD.
Subsequently, in the external evaluation, it is assessed whether the model is able to describe one or more external datasets (the datasets other than the one used to develop the model) adequately.
However, it is worth noting that the Paci2013 hiPSC-CM model already comprises the flexibility to reproduce datasets from cell lines different from the one used to develop the model.
Build #55 (the one used to develop the T. aestivum NimbleGen 40 k microarray) (37) and the following major releases were retained, as users may have developed resources based on different builds of the UniGene even though NCBI only stores the most recent build.
Since the platform used in this experiment is the same one used to develop the network, it allowed a robust comparison with the large integrated analysis previously undertaken across a range of experimental conditions (Reverter et al. 2006a) and provided better consistency in interpretation than would we achieved if different platforms were used.
The iterative method of constructing a rule (based on empirical facts), deploying it to computationally predict the empirical observation and optimizing it until statistical significance between the computational prediction and empirical observation is achieved utilized is no different than the one used to develop the classical continuum models.
One was used to develop a transgenic mouse bearing the BCR-ABL fusion gene [ 15].
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