Bayesian Data Fusion with Gaussian Process Priors: An Application to Protein Fold RecognitionMark Girolami
Bayesian belief networks (BBNs) enable computers to combine new data with prior beliefs about data, make subjective decisions about how strongly to weigh prior beliefs, and provide a policy for keeping new information in the proper perspective (Leonhardt, 2001). They provide a graphical method to...
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The three selected diseases, along with their corresponding sequence analysis data, represent a broad spectrum of gene-pathology associations among patient populations. Alzheimer’s disease (AD), a prototypical genetic disorder, is analyzed using genome-wide association study (GWAS) summary data to elu...
Table 3 Normalized kernel weights with an extra positive definite, unit-diagonal, random valued kernel matrix Full size table To understand the effect of priors behind the significantly improved performance, which is especially pronounced at smaller sample sizes, we investigated the difference in AUPRC...
specific coefficient\({\beta }_{g}^{(d)}\)through a prior distribution, which acts as a penalty term in a non-Bayesian/frequentist formulation. For two genesg1andg2that are correlated with response, this approach encourages (but does not guarantee) that the shared coefficient of one of ...
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Besides, it was assumed that priors of μ and σg02 followed uniform distributions, and σg12=σg02×100. By assuming a small variance instead of 0 for the distribution of N(0,σg02), the implementation of Markov Chain Monte Carlo (MCMC) was straightforward with recognizable conditional ...
The results illustrate that Bayesian Synthesis with data driven priors is a highly effective approach, provided that the sample sizes for the fused data are large enough to provide unbiased estimates. Bayesian Synthesis provides another beneficial approach to data fusion that can effectively be used ...
By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection. See our privacy policy for more information on the use of your perso...