Exact(6)
Among these, the junction tree algorithm is one popular technique to get marginal probabilities of a Bayesian network given evidence(s) (see Methods for details).
Some techniques for detection of phosphorylation sites are more definitive than others; for each residue in the dataset, we summarized the accumulated experimental evidence(s) for the in vivo modification (Table 1 ).
Contributions will be accepted for residues where evidence of in vivo phosphorylation is documented by one or more experimental evidence(s) as indicated in the 'Experimental Evidence for Phosphorylation' field.
For each residue identified as a specific phosphorylation, we noted the evidence(s) for that phosphorylation, as well as whether a protein kinase or phosphatase, function, or specific condition was associated with the residue, and whether the phosphorylation had a defined effect on the protein activity.
The details of this analysis together with the evidence(s) found in support of each modification are provided as Additional file 2. As shown in Figure 1A and 1B, a total of 137 GNG inconsistencies in both minimal and YP media was identified with 128 of them jointly present.
For protein kinases and phosphatases themselves, and their corresponding regulatory subunits, an additional table displays sites of phosphorylation/dephosphorylation for known substrate proteins, and includes a summary of the evidence(s) for involvement in these reactions, as well as links to the corresponding substrate pages.
Similar(53)
In order to infer the regulatory network from the expression data X, we compute a score s : E → R to assess the evidence that each candidate regulation is true, and then predict as true regulation the pairs (t, g ) ∈ E for which the evidence s t, g) is larger than a threshold δ.
But Hill's evidence is not conclusive.
Suppose s learns evidence E6.
Wilson's evidence?
What's the evidence?
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