Sentence examples for specificity matrix from inspiring English sources

Overall, the specificity matrix calculated by us for murine TAP is in good qualitative agreement with previously published experimental data generated with model substrates.

The regional specificity (matrix over striosomes) and distributed patterning suggests that PNNs may play a role in the maturation of connections to specific cells that underlie sub-circuits within the developing neostriatum.

In order to identify residue positions contributing to the difference between murine and human TAP specificity, we compared the murine matrix scores with those of a previously determined human TAP specificity matrix [32].

Precision, limit of detection, specificity, matrix effect, accuracy, stability and pre-analytic variables are performance criteria.

Finally, the distribution of ΔS is sensitive to the estimation of the frequency parameters in the specificity matrix.

Thus, the tests require (i) well-characterized transcription factor binding specificity and (ii) confident alignment of a binding site to a single specificity matrix.

Non-specific non-specificity (matrix effect) can result in interference from unrelated species and matrix components, but can often be eliminated by dilution of sample in an appropriate buffer.

We took advantage of being able to compare human and murine TAP specificity matrices, and found that several residues at the N-terminus of peptides that strongly influence binding to human TAP showed little effect on binding to murine TAP.

I used publically available compilations of characterized binding sites for Bcd and Kr [ 33, 45] to construct specificity matrices using a pseudocount of 1 per position.

Since these studies show many differences, sometimes stark discrepancies, for the single specificity subsites, a general overview is given in Table 1 based on the statistical approach of the MEROPS specificity matrices (http://merops.sanger.ac.uk/).sanger.ac.uk/

To demonstrate our results, we had taken the WBCD database from UCI Machine Learning repository and compared the classification accuracy, sensitivity, specificity, confusion matrix, ROC curves and AUC under ROC curves of GONN with classical model and classical back propagation model.