Sentence examples for agnostic method from inspiring English sources

By combining MDR's agnostic method of computing accuracies with an evolution strategy, we simulate gene-disease models that express the breadth of potential models due to the random nature of our mutation.

Here we assess the viability of fluorescence recovery after photobleaching (FRAP) assays as a target agnostic method for the direct visualisation of an on-target effect of bromodomain inhibitors in living cells.

Since bromodomains lack any catalytic activity that could otherwise be monitored and the common denominator in the function of most bromodomain-containing proteins is chromatin association, FRAP represents a target agnostic method for detecting bromodomain inhibition.

One of the challenges of using agnostic methods such as PCA and FA to identify underlying patterns of dental decay (devoid of a priori surface classifications) is in interpreting the findings.

However, one limitation of this dynamics-agnostic method is that the rainfall events should occur in areas where microwave links are present for accurate estimation.

It assumes that the requirement of a map-agnostic method (in the sense of the previous definition) can be dropped, but still provides a map-independent approach.

It is at this point that an investigational pathogen-agnostic method such as metagenomics should be deployed, with the results helping both to uncover unknown etiological agents and to inform the development of new laboratory diagnostic tests or the testing of algorithms to detect future instances of the pathogen in question.

The generally low admixture rates at the population level allow association analysis to disregard European contribution and use admixture-agnostic methods to search for causal genetic factors.

95%% confidence intervals (CIs) for coefficients in bivariate and full multivariate regression were estimated using the bootstrap (as an agnostic estimation method that does not rely on model form assumptions) [ 36, 37].

This suggests that relying on sequence conservation or the presence of conserved TF binding motifs may miss some key associations and that agnostic, complementary methods should be developed.

Our objective was to identify clinical factors predictive of ototoxicity using an agnostic machine learning method.