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Watkins et al. [ 10] compared the sensitivity and timeliness of the EARS C1, C2 and C3 methods and a negative binomial cusum outbreak detection method to detect aberrations in Ross River virus (RRV) disease in Western Australia.
This seasonality potentially impacts on the utility of some outbreak detection methodologies, specifically when the application is to detect aberrations beyond the usual seasonal pattern, instead of detecting the start of the season.
IHC can detect aberrations in the level of BCL-2, and targeted sequencing can detect P53 mutations.
To adapt to this diversity of variation among individual tumors, we developed an adjustable multi-component model to detect aberrations, the first core feature of RAE.
Since tumor tissue invariably contains genetically normal stromal cells, this may lead to a failure to detect aberrations in the tumor cells.
First, we take an individual-tumor approach to setting thresholds in log2 signal to detect aberrations, thereby extracting information from tumors that otherwise provide insufficient signal to detect non-diploid copy number changes in comparison to purer tumor samples.
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The immune system – both innate and adaptive – is designed through evolution to detect aberration of the cell membrane.
Remarkably, the M-measure is robust in detecting aberrations even when the aberrated component is present at low concentrations.
Much of the current focus of public health surveillance is on detecting aberrations in space largely inspired by concerns about bioterrorism and newly emerging infectious diseases.
In this article, we applied SYBR Green I-based real-time PCR and melting curve analysis assay for rapid genotyping of the small nuclear ribonucleoprotein polypeptide N (SNRPN) gene methylation status and for detecting aberrations in copy number in a single tube.
Many of the identified CNVs overlapped with the other research results, but the simultaneously observed variability in the number and sizes of detected aberrations indicated a need for further studies and the development of more reliable bioinformatics algorithms.
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