932 resultados para Strongly Regular Graph


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Epidemiological evidence has suggested a link between beta2-agonists and increased asthma mortality. There has been much debate about possible causal links for this association, and whether regular (daily) long-acting beta2-agonists are safe. This is an updated systematic review.

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The last few years have seen the advent of high-throughput technologies to analyze various properties of the transcriptome and proteome of several organisms. The congruency of these different data sources, or lack thereof, can shed light on the mechanisms that govern cellular function. A central challenge for bioinformatics research is to develop a unified framework for combining the multiple sources of functional genomics information and testing associations between them, thus obtaining a robust and integrated view of the underlying biology. We present a graph theoretic approach to test the significance of the association between multiple disparate sources of functional genomics data by proposing two statistical tests, namely edge permutation and node label permutation tests. We demonstrate the use of the proposed tests by finding significant association between a Gene Ontology-derived "predictome" and data obtained from mRNA expression and phenotypic experiments for Saccharomyces cerevisiae. Moreover, we employ the graph theoretic framework to recast a surprising discrepancy presented in Giaever et al. (2002) between gene expression and knockout phenotype, using expression data from a different set of experiments.

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The radiation burden of an individual patient caused by a radiological examination depends strongly on the technical parameters, such as kV and mAs. As an inquiry among 150 swiss physicians showed, rather different irradiation techniques are used for the same examination. Depending on these irradiation techniques, the doses may vary by almost a factor of ten. These large variations in dose indicate that in some clinics or hospitals the radiographic techniques and the film processing are at fault. This fact has to be accounted for by future efforts of quality assurance in diagnostic radiology.

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