Table 6 |
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|
Log-likelihoods of alignments, and log-posteriors of alignment annotations, for training and testing datasets using the original Pfold program. Comparison with Table 5 shows that EM training increases all probabilities, as desired. |
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|
Dataset |
log2 P(D, A|θ) |
log2 P(D|θ) |
log2 P(A|D, θ) |
|
|
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|
Training set |
-487422.5964 |
-464828.9148 |
-22593.6816 |
|
Test set |
-370490.5284 |
-348550.7516 |
-21939.7768 |
|
|
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|
Klosterman et al. BMC Bioinformatics 2006 7:428 doi:10.1186/1471-2105-7-428 |
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