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The smoothed posterior score fusion of subsystems shows the best classification performance (73.5% for unweighted, and 72.8% for weighted, average recalls of the binary classes).
A consensus network was generated using 33 networks which shared the maximum or best log posterior score (ln(P(D|M)).
Posterior score F is calculated from equation (2).
After propagation, the prior score has been smoothed over the whole network and each gene gets a new association score, denoted as the posterior score, with higher posterior score representing stronger evidence for association.
It is appealing to mark a gene with high posterior score as associated, neglecting the fact that a high posterior score is merely due to a high degree (receiving information from more neighbors).
This gene would be missed by both single marker test as well as ranking genes by posterior score.
Similar(38)
Genes were sorted based on their log posterior scores.
Calculating posterior scores by propagation.
= 0.01 gPS means genes with highest posterior scores are selected.
This is not surprising since the prior scores from GWAS contribute to the posterior scores.
Anterior, middle and posterior scores were summed to create medial and lateral meniscal tear scores.
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