Sentence examples for regulator module from inspiring English sources

In the case of network inferences for DOR(Dense overlapping regulation), FF(Feed-foRMaRegulatoregulator Module) and TM(Target Module) networks, the value of recall becomes around 0.4, which indicates about 40% of interactions in the network model are properly reconstructed by our algorithm.

For regulator module, ρ = -0.89, P = 0.006 (Spearman's rank correlation).

These two points are actually redundant because the MAPK (regulator module) is in the downstream of sensor module.

Target enrichment: module is enriched in known targets of the predicted regulator, module is most enriched for predicted regulator.

The dN/ dS values of the MAPK cascade genes (regulator module) was significantly smaller than upstream sensor module (Wilcoxon rank test, P = 0.00115) and downstream module (Wilcoxon rank test, P = 0.000539).

In order to evaluate the applicability of our inferring algorithm, we prepared 8 kinds of artificial network models, Regulatory Interaction (RI), Regulator Module (RM), Target Module (TM), Feed-Forward (FF), Single Input Module (SIM), Dense Overlapping Regulation (DOR), Autoregulation (AR), and Multicomponent-Loop (ML).

This paper introduces an innovative current-sense technique for voltage regulator modules (VRMs).

Furthermore, it will be interesting to question whether co-occurrence of the RpZRE3-core element with other transcription factor binding sites forming a co-operative cis-regulator module which may illuminate the regulation of these host and viral genes.

For each of the 827 regulator-module pairs we reconstructed the most probable (primary) regulation pathway that starts with the regulator and ends with a TF that binds some of the target genes.

We removed small target modules (less than 5 genes), resulting in a set of 827 regulator-module pairs, for 446 distinct regulators.

The output of LeMoNe and CLR consists of a list of respectively ranked regulator-module and ranked regulator-target interactions, scored according to their statistical significance.