Sentence examples similar to indirect stage from inspiring English sources

To further investigate the relationship of measures of expression for contigs and their respective clusters, we identified contigs that had the greatest difference in their ratio of expression (formally, the greatest mean fold difference of component ESTs that were significantly differently expressed) between the L2 direct and indirect stages, with a two or more-fold difference in expression.

A mean of 99.8% and 99.8% of ESTs of these contigs and clusters, respectively, produced hybridization data that passed the quality control threshold; a mean of 57.0% and 39.3% of the ESTs of these contigs and clusters, respectively, were significantly (p ≤ 0.05) differently expressed between the direct and indirect stages.

For the 522 (675 - 153) non-single EST clusters and contigs we determined the proportion of ESTs belonging to each contig and cluster which (i) produced hybridization data that passed the quality control threshold and (ii) the proportion of these that were also significantly different between the direct and indirect stages.

The cluster from the L2-direct stage has a significant alignment to a C. elegans hypothetical protein, and the two clusters from the L2-indirect stage have significant alignments to a C. elegans probable peroxiredoxin and a Schistosoma mansoni ORF.

Figure 10 Mean square error (MSE) in dB scale for direct and indirect (two-stage) methods using Exponential channel model.

These two figures show results consistent with Figures 11 and 12. Figure 9 90% percentage error for direct and indirect (two-stage) methods using Exponential channel model.

675 ESTs were identified whose expression was significantly different between the direct L2 and the indirect L2 stages (p ≤ 0.05).

For this purpose, a two-stage evaporative cooling experimental setup consisting of an indirect evaporative cooling stage (IEC) followed by a direct evaporative cooling stage (DEC) was designed, constructed and tested.

A three-stage indirect multi-step-ahead prediction model, which combines dynamic spline interpolation into multilayer adaptive time-delay neural network (ATNN), is proposed in this study for the long term hydrologic prediction.

To achieve this goal, a two-stage indirect approach has been deployed which relies on the a-priori knowledge of the controller parameters in order to extract good estimates of the open-loop dynamics of the underlying process.

Direct, indirect indicators, and stages are summarized in Table 5.