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In addition, performance of GSHP systems with steel foundation piles in long term is predicted with the design tool.
Thus, given a threshold, if a term is predicted for protein i, then its parent terms are always predicted for protein i (the rationale being that a protein cannot have a more specific functional annotation without having more general terms as well).
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However, since the GO term was predicted for those genes within top 30 of the ranked list in our results, all the genes associated with the GO term in the inverse map are likely to have strong association with the term.
In such theories the magnitude of the D-terms is predicted, and we calculate the branching ratios for μ→eγ and τ→μγ for different benchmark points designed to isolate the different non-minimal contributions.
We then consider PNFL and DREAM4 regulatory logics as approximately equal if the operator that combines the majority of terms is predicted by PNFL.
However, the model does not describe the data quantitatively for lower IPTG concentrations up to 5 μM (Additional file 1): this regime shows only a marginal rise in expression levels, and hence only a marginal increase of cost and benefit terms is predicted by the model, which contrasts with the measured cost and benefit that show significant increases.
In a multivariate model, knowledge of evolutionary terms was predicted by education and religious denomination.
We assume that there are δ = | T ′ − T | new annotations; of those, α terms were predicted as negatives by the predictor, whereas β terms were predicted as positives.
In this example, all five correct GO terms were predicted by ESG, but four of them were with weak scores.
Exploitation of the GO DAG structure results in general terms being predicted at the top of the ranked lists.
GO terms were predicted for each assembled unigene to characterize functionality of gene products on the basis of their sequence similarities to known proteins in the Nr database.
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