Examples from experimental investigations are provided which have informed the development of scenarios throughout the design process.
Testing the trained classifier on unseen data from the RT study (1080 examples from experimental block 3) leads to an mean-squared error (MSE) of 8.9% only, which corresponds to a high agreement with the expert's labeling.
Moreover, abundant examples from experimental models and clinical trials suggest that HER-2 can be immunogenic and generate antibodies, CTL- and helper T-cell-specific responses in individuals with HER-2-overexpressing tumours (Fisk et al, 1995; Kono et al, 1998).
In a broader context, this poor characterisation has important consequences; for example, from an experimental or modelling standpoint, it is not clear whether a particular protist isolate is representative of the population from which it was derived.
Examples taken from experimental tests shown that the developed approach is effective for the fault detection.
Examples from observed experimental oil slicks in the field are presented.
Where conventional transcriptional data such as ESTs and mRNAs are unavailable, we utilize other evidence to support the annotation of a transcript model, for example, experimental data from publications, conservation in other species, and data from new technologies such as RNA-Seq data and proteomic data.
Examples demonstrate how the model parameters can be determined from experimental data and in order to validate the model, simulated chromatograms are compared to the corresponding experimental chromatograms.
It probably resulted from experimental error (for example, failure to include this individual in the final amplicon mixture).
Candidate reference genes for such a study may be, for example, chosen from the literature or from experimental data obtained from microarray analysis [ 27, 51].
