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In fact, three of the twenty posterior datasets contributed to the large maximum registration errors as seen in Table 1 as image quality and motion blur were ever present.
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With simulated 7-taxon protein-sequence datasets, Bayesian posterior probabilities are somewhat more generous than bootstrap proportions, but do not saturate.
Table 1 Temporal tracking results for both posterior and left lateral datasets.
From Table 1, the total number of images analyzed for the posterior and left lateral datasets was 181 and 189, respectively.
DOI: http://dx.doi.org/10.7554/eLife.03743.005 10.7554/eLiFigure43.006 Figure 1 figure supplement 3. Analysis of microarray datasets for posterior marginal zone (PMZ) and isolated anterior cut halves.
Indeed, for these datasets, the posterior distribution over the temperature parameter appears to be similar to that of the prior distribution over the temperature parameter.
We mainly used KEGG to estimate the prior odds and the posterior odds for each dataset.
STRUCTURAMA calculated the posterior probability that the dataset includes 3 clusters as 1.0.
For each generated dataset, 210 000 posterior samples were obtained using one cold Markov chain and three heated chains.
For the amino acid dataset, Bayesian posterior probability (BPP) values were determined after discarding the initial 200 trees (the first 2 × 105 generations) as burn-in.
Conversely, from 173 miRNAs identified previously in two public datasets for posterior-silk-gland expression, 37 were negative in our study.
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