To minimize the influence of a single sample in predicting RAMs, we further analyzed data with filtered RAMs that 1) exhibited methylation change in at least two samples per exposure category and 2) displayed differential methylation either in at least one out of two flanking windows (shift window size is 50 bp) or two 100 bp windows within a 500 bp stretch.
31 32 These characteristics may contribute to the superiority of HbA1c over FPG, which primarily reflects hepatic glucose output at the time of sampling, in predicting long-term macrovascular diseases as well as low-grade albuminuria and other early cardiovascular disease predictors.
A minor failing of the model in the validation sample is in predicting short term outcomes (1-2 years).
Although the effects of the PBOXs on Bcr-Abl mutations in vitro is clear, these results needed to be confirmed in ex vivo patient samples, critically important in predicting a clinical response to potential anticancer drugs.
In terms of HER2 examination, a 96.3% concordance rate after adding FISH testing showed that detecting HER2 on CNB samples was as sensitive in predicting HER2 status as OEB.
The use of patient samples, however, is important in predicting the clinical relevance of novel anticancer agents, and here we also show PBOX-15-induced apoptosis in ex vivo myeloma cells isolated from patient bone marrow aspirates.
Thus, similar sampling may prove useful in predicting geographic areas with a higher likelihood for mold wound contamination, allowing clinicians to have a heightened awareness of the risk for IFI among patients with severe traumatic injuries.
These prevalence estimates can be used in predicting sample size requirements for future epidemiologic studies to evaluate genetic determinants of susceptibility to chronic and infectious diseases, the severity of disease, and interactions with other risk factors.
Note that the relatively lower T-index scores around 0.72 for samples with a score of 1 should be attributed to the apparently worse performance in predicting such samples as shown in Figure 3(c d) rather than poor transferability.
In addition that the model should perform well in predicting the samples obtained from the current study, its predictive performance must be generalizable across different studies.
