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The rationale for introducing this quality trimming is because in this way only contigs in which the observed sequence differences were validated in a significant number of reads were taken into account, eliminating thus potential false positives due to sequencing errors, which generate "orphan" reads.
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The biomarker candidates need to be validated in a greater and statistically significant universe of individual samples using distinct methodologies such as Western blot, ELISA or single and multiple reaction monitoring (SRM or MRM).
These HiSeq results were validated in a separate qRT-PCR assay, with significant correlation (R = 0.69, P < 0.05) between results from the two methods.
These findings were validated in a recent meta-analysis that found significant reductions in blood glucose postprandial response and insulin levels after interrupting sedentary periods with LIPA breaks [ 64].
These significant results need to be validated in a greater number of samples in order to confirm TGFBI as a relevant biomarker in NSCLC.
The effect was detected in a "learning cohort" and validated in a "validating cohort," geographically separated.
The correlations of the Turkish CDQ with the SF-36, an HRQOL scale instrument validated in Turkish, were significant (Spearman correlation 0.61-0.93) and similar to the external validity coefficients of other validation studies of the CDQ [ 17, 19].
EVLW has been validated as a significant predictor of outcome in ARDS [ 3, 7- 11].
A CDK-based risk score validated in these studies was a significant and independent prognostic factor, especially for distant recurrence.
Although the majority felt that the finding could be validated in the same laboratory, a significant minority felt it should be in a different laboratory or with a different technology.
The methylation levels of ANPEP did not have significant prognostic value in the RP cohort (it was borderline significant, but failed to validate in an independent patient cohort (data not shown)).
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