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Finally, the transferability of the "simple rules" identified in the North West Provincial case study to other contexts would need to be tested empirically.
Since the end date of our systematic review, three studies have been published validating risk prediction models or clinical decision rules identified in this review.
The risk prediction models and clinical decision rules identified in this review have a number of factors that limit their usefulness for guiding early decision-making regarding antifungal prophylaxis.
Two significant rules identified in the α-factor data set involve novel transcription factors: Yap5 (p = 10-10 athehe 14-minute time point and 10-8 athehe 77-minute time point) and Gat3 (p = 10-9 athehe 14-minute time point and 10-8 athehe 77-minute time point).
To assess the long-term effect of duloxetine, patients from the long-term safety study were categorized according to the descriptive rules identified in previous procedures using available data from Week 14 (LOCF interval: >Week 1 to Week 14) and Week 26 (LOCF interval: >Week 19 to Week 26).
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However, our conclusions should apply broadly given that latitudinal gradients underlie the biogeographical 'rules' (e.g. Allen's Rule, Bergmann's Rule) identified in many studies of vertebrate, invertebrate, aquatic, marine and terrestrial animal species (see Connover and Schultz 1995; Huggett 2004).
In the present study, in contrast, several rules were identified in more than one rule set generated in the three clinical centers; that is, five rules for the prediction of healthy controls (CG) and seven rules for the prediction of RA (see Table 5).
All of exon-intron junction sites obey the GT/AG rule as identified in other eukaryotic genes.
If we apply the rule we identified in this report, it is possible to design an expression vector with an ideal expression level of the transgene by a proper choice of the drug selection system.
The 13 lncRNAs rule was identified in five comparisons from the GEO dataset GDS1962 testing different kind of human brain tumors (i.e., astrocytoma grades II and III, glioblastoma grade IV, and oligodendroglioma grades II and III) against normal brain tissues.
This also indicates that the rules identifying RA patients in the present study are not generated randomly, but reflect a mechanistic relevance within the context of RA pathogenesis.
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