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For this reason, analysis of clinical decision tool performance was based on prediction for T scores at the femoral neck only.
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These clusters differentiated themselves based on predictions for prognosis and chemotherapy sensitivity (eg, in ISS stage I, one cluster was characterized by increased CIN, cyclophosphamide resistance, and a poor prognosis).GEP provides insight into the molecular defects underlying plasma cell dyscrasias that may explain their clinical heterogeneity.
Based on predictions for individual races, it looks as though Democrats will be stuck on 59 seats—one short of the total necessary to break a filibuster.
In Hong Kong, both the Hang Seng index and the Hang Seng China enterprises index are trading at a 15-year low, based on predictions for price-earnings ratios over the next 12 months.
C-index values were calculated for all models based on predictions for the test data sets.
We also estimate the signal-to-noise ratio based on predictions for human 3' UTRs and using the procedure introduced to validate PicTar [ 10].
As a result, attempting to identify CRMs solely based on prediction of TFBSs for a single factor tends to be unsuccessful, save for relatively rare exceptions in which the TFBSs are numerous and tightly clustered [e.g. [ 7, 8]].
We had high expectations for the utility of these markers to complement the mtDNA barcode analysis based on our own experiences with other taxa [40], [41], the utility of these markers in other taxonomic groups where, for instance, ITS1 functions as a barcode [42], and, for 28S, based on predictions of others for the utility of this region as an alternative barcode region [43].
Second, we use queueing analysis to adjust resource allocations based on predictions of resource requests for interactive services.
Based on prediction models for peptide binding to the various MHC class I alleles of these 7 subjects, there were over 200 potential new Gag epitopes identified within the 80 positive Gag 15mer peptides (data not shown).
Application of a 'correction' rule based on prediction models for clinical hypertension using the national sample (NHANES) allowed us to re-calibrate sensitivity and specificity estimates for the HEP sample.
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