Exact(1)
As shown in the table, IDRN with different community prior improve the metrics over the one with global prior.
Similar(59)
This indicates that not all of the edges are well supported by the data and therefore increasing the effect of the prior improves the algorithm.
We used these datasets along with 150 priors (covering 6 different accuracy levels), and completed over 1.7 million inferences to determine if and when a functional association prior improves GRN inference.
In Mostafavi et al. (2008), it was shown that an ℓ2 norm regularization (also known as ridge regression) to a mean weight prior, improves performance in such categories (Section 5.1.1).
The fact that the prior improved inferences based on the GNW-generated data much more than the corresponding inferences based on GeneSpider-generated data might be explained by the differences in the two generators.
On the other hand, the multithreshold method with both LD and MAF prior improves the resolution by 2.4% on average for all SNPs and by 4.0% on average for SNPs with mid-range power.
It is shown that flexible non-parametric priors improve estimation of response functions in both cases.
Figure 7 e) shows the final contour using our optical flow GVF snake with primitive priors (yielding a sensitivity, precision rate, and overlap ratio of 85.2%, 91.9%, and 79.2%, resp .. Examination of the figure reveals that the shape priors improve regularity by allowing the snake to overcome noise artifacts.
I use this method to test whether alternative parameterizations and priors improve the behavior of the approximate-Bayesian model-choice approach to estimating shared divergence events.
In either case, the main result is that there is no evidence that fMRI priors improve model evidence when using MSP.
Furthermore, using exponential priors improves the method's power to detect temporally random divergences.
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