Sentence examples for random prior from inspiring English sources

We estimated the expected error rate due to "random" prior knowledge via a novel sampling scheme.

High-quality knowledge further improves kDDN performance, while kDDN is robust enough even to totally random prior knowledge.

If there is no signal in the network, i.e, a completely random prior for all the genes, this method still outputs the genes with highest posterior scores.

To assess the impact of prior knowledge, we ran kDDN under three scenarios: data-only (kDDN.dt), data plus true prior knowledge (kDDN.tk), and data plus "random" prior knowledge (kDDN.fk).

These candidate genes all have a higher rank of posterior scores in the network of GWAS prior, compared to network with random prior, as shown in Additional file 1: Table S2.

The statistical comparison of the networks inferred with actual (i.e., reported in databases) and random prior models indicated that the inference algorithm rejected a significantly higher number of prior interactions when randomly generated priors were used for modeling.

The model starts with random priors, and then is iteratively trained using EM till convergence.

For further details on P-spline and Markov random priors see Khatab and Fahrmeir [ 11], Osei et al. [ 12], Biller [ 16] and Sartorius et al. [ 14].

Finally, we illustrate our methodology by analyzing a real gene expression dataset taken from a breast cancer tumor study by [40], showing that in contrast with the random structure prior, the scale-free structure prior recovers hubs, including the estrogen regulator FOXA1 and the zinc transporter SLC39A6, which was previously unrecognized as a hub.

P-spline priors were assigned to the functions f1,…,fp, non-informative priors were used for fixed effects parameters and a Markov random field prior was used for fspat (si).

LAC was applied at a random side prior to the lateral osteotomy.