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We propose a new way of analyzing biological pathways in which the analysis combines both transcriptome data and mutation information and uses the outcome to identify "routes" of aberrant pathways potentially responsible for the etiology of disease.
The sequences were stratified by genotype, race and treatment outcome to identify HCV genetic differences associated with treatment efficacy.
We tackled this through a subanalysis that used death due to PC as the outcome to identify more aggressive disease.
They then clustered these expression profiles and correlated them with prognostic outcome to identify a 70-gene 'prognosis profile' for breast cancer.
In 2002, van de Vijver et al. used the correlation coefficient (correlation coefficient <−0.3 or >0.3) of the expression for each gene with disease outcome to identify 231 genes that related to breast cancer outcome.
1) Demographic predictors We performed multiple regression, with self-reported annual GP visits as an ordinal outcome to identify the independent demographic predictors of the frequency of visits to a GP after controlling for morbidity.
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Additionally, the proposed algorithm can select the evaluation outcomes to identify the optimal machine of precision.
Additionally, the proposed algorithm can select the evaluation outcomes to identify the worst machine of precision.
Decision Makers can select evaluation outcomes to identify the most precise machine.
We explored the ability of risk-adjusted outcomes to identify outlying hospital performance with bariatric surgery for a range of hospital caseloads.
To review the effect of assisted human reproduction (AHR) on perinatal outcomes, to identify areas requiring further research with regard to birth outcomes and AHR, and to provide guidelines to optimize obstetrical management and counselling of prospective Canadian parents.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com