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Longitudinal studies incorporating the use of biological samples may facilitate understanding of biological mechanisms and identify important mediators and modifiers of the CSA-PTB relationship.
Laboratory tests for detecting Aspergillus galactomannan, β- d-glucan or DNA from blood, BAL or tissue samples may facilitate the diagnosis; however, most polymerase chain reaction assays are not yet standardized and validated.
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The association of abstract trends with the behavior of a particular probeset in one sample may facilitate identifying root-causes.
A better resolution of temporal sampling may facilitate this goal and achieve a better understanding of the processes involved in epithelial cell death.
These findings demonstrate that 3SEQ is an effective technique for gene expression profiling from archival tumor samples and may facilitate significant advances in translational cancer research.
Alternatively, a larger sample size may facilitate the ability to define a closer association between promoter methylation status and expression in these genes.
The larger size of this data set could reduce the effect of sampling and may facilitate the detection of weak effects.
The MSE method can be applied to analysis of DNA methylation status in many different clinical samples, and this may facilitate identification of new risk markers.
Thus, MSE can be applied to analysis of DNA methylation in many different clinical samples, and this may facilitate identification of new risk markers.
Using pooled DNA samples may significantly facilitate meeting this goal since hundreds of DNA samples can be reduced to a single sample.
Further studies with larger sample, wider age range may facilitate evaluation of applicability of PedsQL™ Generic Core-Sinhala version in clinical settings.
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