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Categorizer is different from GO Slim-based methods in that it identifies biologically relevant categories by using both the graphical structure of GO and the semantic similarities between GO terms.

A strength of the approach introduced here is that it mitigates the effect of network damage at its source, in that it identifies a minimal set of network interaction modifications that preserves the stability of a network attractor (or, alternatively, eliminates an undesirable attractor).

Nevertheless, for contemporary politics, the importance of the idea of the common good remains in that it identifies the possibility that politics can be about more than building an institutional framework for the narrow pursuit of individual self-interest in the essentially private domain of liberalized markets.

This approach is significant for their research in that it identifies varied assessment cultures between school and a vocational learning environment.

It is both a deterministic model, in that it identifies the locations of clustering, and an inferential model, in that it allows for the evaluation of significance of each cluster (Chen et al. [2008]).

For our purposes, the SNP selection algorithm differs in that it identifies the maximum number of mutually "independent" SNPs for the inference of population structure.

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But he draws a red line under the sharing of identifiable data: "The principles are that you should own your data in so far as you can and any data that is shared is genuinely anonymous, and not just in the sense that it identifies you but there's no pattern that could identify you through data mining".

This assessment tool is diagnostic in the sense that it identifies patterns across students' responses to questions, revealing root problems that can be the focus of instructional change.

Despite its limitations, the present study is unique in that it identified the obesity paradox in stabilized diabetic patients after the event of AMI in an Asian population.

Furthermore, our study was unique in that it identified attitudes and barriers towards participation in a symptom management CCT.

In category mode, PARAFAC yielded the most interesting clustering results for the proteomics data set, in that it identified clusters of functionally related genes that contribute the most to the model.

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