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In this integrated analysis the subset of proteins that were most successfully validated in human ovarian cancer sera represented proteins found to be upregulated in plasma from tumor bearing mice and found to be secreted in human ovarian cancer cells.
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As a sensitivity analysis, we repeated the multivariable analysis for the subset of patients with complete data for all prognostic variables.
In the multivariate analysis of the subset of 41 patients, BRCA1 mRNA expression level emerged as the strongest predictor of survival.
Finally, as exploratory analysis within the subset of all trials with publicly available microarray data, we looked at the linear regression relationships between additional covariates and citation count.
This resulted in an average value of 8.59, while performing the same analysis on the subset of 49 measured and annotated metabolites resulted in an average distance of 6.66.
AH designed the analysis of the subset of data on which this paper is based.
This narrows the scope of analysis to the subset of target sites that likely contain variants.
In parallel, we performed a high throughput automated analysis of the subset of sequences shared by dinoflagellates.
Results were similar when restricting the analysis to the subset of events associated with a diagnosis for mental disorders.
An additional useful parameter allows limiting the analysis to the subset of genes whose expression is maximal.
Prematurity remained a significant risk factor in the multivariate analysis on the subset of children with known HIV status.
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CEO of Professional Science Editing for Scientists @ prosciediting.com