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To embody the signal amplification property of the protocol, the analytical properties of various immunosensor platform and labels were compared in detail.
To embody the function of CIMC, adsorptive and reductive properties of HAs, and catalytic performance of Au NPs, response signals of various labels were compared in detail.
After 3 days, the two types of labels were compared on donor derived CD8+CD44+ T cells in recipient spleens by FACS.
These labels were compared, and any disagreements between the researchers were discussed and resolved.
Then, the adverse effects from drug labels were compared with the adverse effects provided by the system.
The predicted labels were compared with their corresponding true class labels and an unbiased estimate of the misclassification error rate, denoted as err g, i, was calculated.
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Finally, the estimated class labels are compared against the true labels by computing a confusion matrix.
Otherwise, if there are more E mphatic and A nger labels than M otherese labels, the number of E mphatic labels is compared to the number of A nger labels.
In Figure 6 we present an example of a single application of an (N=8) perceptron including both a learning stage with pre-labeled training data and a classification testing stage in which the perceptron's estimated class labels are compared with their correct values.
The predicted class labels are compared to the true class labels and the number of errors are totaled.
Starting from small sized subgraphs, the canonical labels are compared, and infrequent edges are pruned from the networks.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com