Sentence examples for matrices generated using from inspiring English sources

In summary, PCL matrices generated using this novel technique show significant promise in biomedical applications.

The matrices generated using structurally aligned protein domain pairs from the 0%–40%, 0%–50% and 0% 60% sequence identity sets were labeled SASM40, SASM50, and SASM60, respectively.

miRNA clusters were scored as antagonistic when the numbers and percentages were above a threshold (as defined in the tables) for both overlap matrices generated using positive and negative sPCCs.

Similarly when the similarity matrices generated using ISSR and RAPD systems were compared in case of T. caerulea, a value of r = 0.98 indicated a very good correlation between the two marker systems [Fig. 4].

In T. foenum-graecum, when the similarity matrices generated using ISSR and RAPD markers were compared, a value of r = 0.78, at P = 0.001 indicated a good correlation between data generated by both the systems [Fig. 3].

A correlation matrix generated using dCHIP software demonstrated that the correlation coefficients calculated for duplicate samples for each of the three genotypes analyzed showed significant agreement, indicating high reproducibility of the gene expression data we present in this study.

Analogously, value class probabilities are refined using the core-weighted matrix (generated using equation 4).

Data were compensated using a compensation matrix generated using singly stained samples.

The dissimilarity matrix generated using the Rogers-Tanimoto method with 10,000 bootstraps was used for factorial analysis and for construction of the Ward hierarchical clustering tree [ 75].

The second matrix generated using a PERL script (named P_matrix_g) was comprised of 62 species, 285 genes, 79506 amino acid positions and increased the density to 75%.

Each expert took a sample of data and analysed it using the framework to verify if the coding matrix generated using the Logic Model [ 41] based on data from Phase One was appropriate, and to evaluate if the attributes in the matrix were identified in the data.