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The above approximation simplifies the entropy expression as ℋ P = − ∫ x ∑ all c in database P ˜ c P x | c log P x | c dx − ∑ all c in database P ˜ c log P ˜ c, (13).
The mean ISS was 27.3, higher than the overall mean ISS of 23.2 in the TRAUMASUR database (p < 0.05).
Therefore, we have ℋ P = − ∑ all c in database P ˜ c ∫ x P x | c log P x | c dx. (14).
Since the numbers of occurrences of each phone are quite different (due to phonetically unbalanced speech material) we normalize the confusion matrix by dividing the frequency counts f ij by the total number of occurrences of the phone i in the speech database: p ij = f ij ∑ n = 1 N f in = P c ^ j | c i (5).
DXR-BMD was strongly decreased in RA patients compared to the reference database (p < 0.001).
The data also dramatically differs from those deposited in the dbSNP database (P = 0.013).
Similar(39)
Functional enrichment of each module was verified using the DAVID database (p-value < 0.1) [ 45].
Since January 2003, pharmacists have recorded their clinical interventions and outcomes of those interventions in an institutionally developed Pharmaceutical Care database (P-Care).
G2 model also finds bacterial semi-barrel LolB in searches against the complete database (p-value 0.022: interestingly, LolB also has 11 strands).
However, in the case where the approximations values are close to the exact ones (sequence lengths greater than 2 000, which correspond only to 0.5% of the database), p-values obtained with both methods are highly correlated.
From the B. rapa and A. lyrata genome sequences, a total of 1186 and 278 homologous sequences (including complete and partial Monkey King sequences), respectively, were screened in the published plant MITE database (P-MITE) [ 11].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com