Sentence examples for inferred target from inspiring English sources

The angle φ is thus the angle between the cursor's path and the direction of the inferred target chosen by the subject (white triangles in Fig. 3B).

Our results suggest that 50% of the transcriptional regulators analyzed by ARACNe in a human B cell context produce inferred target sets that are significantly enriched in their bona-fide TF functional direct targets.

The left end of each element was next to chromosomal sequences matching inferred target sites for insertion of full-length counterparts: 5'TTTAA or 5'TTTAAA for IS605, and 5'TTAT for IS606 [39].

However the test provides no assurance that a positive test result correctly identifies one of the inferred target subtypes A/H1N1, A/H3N2 or A/H5N1; there is no neuraminidase subtype component evaluated as part of the test.

The inferred target radius of an artery then becomes a function of the flow conditions within the blood vessel (Murray 1926).

The large differences between the number of experimentally detected peaks and the number of inferred target genes for each one of the TFs may suggest a high rate of false negative interactions in our inferred networks, though it is not easy to interpret ChiP data, that provides may peaks that are not necessarily related to direct transcription interactions [ 55].

For each of the 4 experiments performed at higher soluble competitor concentrations, over 86% of the inferred targets (local fdr cut-off.01) were protein kinases, with up to 41 kinases inferred as targets (Table 1).

DNA fragmentation patterns within treated cells inferred targeted cell death by apoptosis had occurred.

Overall, the conservation-free set consistently had the highest recall rate, and its inferred targets were used for all subsequent experiments.

While OmniMiner proceeds greedily, by identifying cross-species conserved regions in each promoter and patterns common to these conserved regions across promoters of inferred targets of a given TF, GibbsModule simultaneously identifies patterns conserved across species and across promoters of inferred targets.

First, we use ARACNe, a proven reverse-engineering algorithm [23], [24], [25], [26], to identify higher likelihood transcriptional targets, and we demonstrate that the inferred targets are more reliable than those predicted by co-expression.