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Proper design of microarray experiments for discovery of gene expression profiles requires biological replication [ 24- 26] Because our goal was not to discover nor report novel gene expression profiles in leaves or buds, we restricted our replications to pools of technical replicates in this experiment.
In the course of our replications, we uncover other pitfalls that may prevent accurate replication, and make recommendations to ensure the ability for future researchers to replicate results.
Despite this revision, our replications confirm that income segregation has increased sharply among families with children in recent decades, and that income inequality is a strong and consistent predictor of income segregation.
The only causes of death for which our replications do not unequivocally determine a single model are Alzheimer's disease for women, respiratory diseases for men, and 'all causes of mortality' for men.
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Our replication cohorts were generally small thus reducing the power to replicate significant findings.
The graph on the right shows the results from our replication of their experiment.
We show the costs and benefits of our replication algorithm against previous location lookup approaches through analysis.
We then performed a similar analysis using complementary miRNA and gene expression data obtained from our replication cohort (n=102 samples from 51 patients).
Combined p values for 18,891 white and Hispanic individuals (4,342 cases) in our replication populations were 4.1 × 10−04 for rs1588265 and 9.2 × 10−04 for rs1544791.
In this section, we describe our replication of R&C's brokerage model.
Significance tests for our replication data were based on the assumption of normality of the data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com