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We predict that additional RNA-binding prion candidates identified by our algorithm will soon surface as genetic modifiers or causes of diverse neurodegenerative conditions.

Our results suggest that a high proportion of potential cases identified by our algorithm will be true cases.

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By combining this method with in vivo imaging of corticostriatal circuits in behaving animals, we can also identity neural correlates for the sub-second structure of behavior identified by our algorithms, suggesting this behavioral analysis technique will provide direct insights into the relationship between neural circuit activity and patterns of action.

cOptBees was originally designed to solve data clustering problems and the prototypes determined by the algorithm will be selected as the centers for the RBF network.

However, in doing so, no new Panda scores have been set so those previously adversely impacted by this algorithm will not get any relief.

Even if both types of algorithms (i.e., compensation and coverage optimization) tune the same parameters (e.g., HO margins), in most cases, the changes made by each algorithm will be different, since their objectives are different.

Being the global number of couples and the number of pairs carrying information, will be the additional payload to attach to the watermark, so the bit-rate provided by the algorithm will be (49).

Expression vectors of genes in the expression matrix are not independent and the various categories in the GO tree are also correlated, therefore the optimal hypergeometric p-value produced by OPI algorithm will need to be double checked by randomly generated dataset so that dependency are modeled correctly.

For example; as τP increases, noise will become amplified, conversely, as τP is reduced, the noise injected by the algorithm will decrease.

We used thresholds rather than mutually exclusive groups to mimic how inferences about the types of patients detected by the algorithm will be made in practice.

A detailed description of the mathematical model extended by the new concept of control functions and the mathematical proof of the completeness of solutions provided by the algorithm will be publised in a compagnion paper [ 13] (Durzinsky, M., W. Marwan, A. Wagler: Reconstructing extended Petri nets, submitted).

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