Figure 1 UCR-OR system model with the direct path between secondary source and destination.
When shapeDTW is used as a distance measure in a nearest neighbor classifier (NN-shapeDTW) to classify time series, it beats DTW on 64 out of 84 UCR time series datasets, with significantly improved classification accuracies.
After converting the genomic coordinates of CNE and UCR clusters to version hg18, we obtained 165 CNE and 140 UCR clusters, respectively.
Thus, over half of the Lbx1-regulated nodes have previously been associated with genomic regions that are rich in conserved non-coding sequences (Tables 1, 2; UCR column).
Our approach involved the construction of tiling arrays for 962 UCR regions, allowing for the detection of both sense and anti-sense transcripts and for expression of host genes.
A 24-h UCr ≥5.2 mmol was associated with a successful weaning in 84%% of patients.
In EEUC [12] and UCR [13] protocol, each tentative cluster head has a competition range Rcomp.
In the hierarchical routing protocols, such as EEUC [12] and UCR [13], the clustering time is static.
By multivariate analysis, D1 24-h UCr was the most powerful parameter that was associated with RRT weaning success with an area under the ROC curve of 0.86 [0.75–0.97] and an odds ratio of 2.01 [1.27–3.18], p = 0.003.
Unlike in the fruit fly where 42 out of 64 UCRs overlapped with data reported by Glazov et al. [ 3], we could not find any UCR in human that overlapped with previously reported UCEs [ 1] (Additional file 3).
The long form transcripts consist of exons encoding the amino termini (i.e., 5' exon), upstream conserved region-1 (UCR-1), linker region-1 (LR-1), UCR-2, LR2, catalytic, and carboxy-terminal domains.
