Sentence examples for multiple sample correction from inspiring English sources

Differentially expressed gene lists were created employing one way ANOVA (p < 0.05) without multiple sample correction.

Multiple sample correction according to Benjamini and Hochberg [ 20] reduced this list to 47 significant genes.

The list without multiple sample correction was used as DAVID input to limit type II errors in significant gene identification.

The fact that the DAVID pathway enrichment analysis system itself includes an algorithm for multiple sample correction effectively limits type 1 errors during identification of enriched pathways.

If each experiment is compared with the same control, this is not a pairwise comparison, and ANOVA with multiple sample correction should be used.

In order to capture the largest number of putative target genes of the differentially expressed miRNAs for our correlation analysis, we performed the t-test without multiple sample correction.

These were: (1) genes with a more than twofold difference in mean expression between control and exposed samples; (2) genes with significantly different (p < 0.05) expression between control and exposed samples after correction for multiple sample testing [ 56].

Statistical analysis was performed with Stata 9.1 for Windows (StataCorp LP, College Station, TX, USA), by using one-way analysis-of-variance model with Bonferroni multiple-comparison correction for multiple sample experiments and the Mann–Whitney test for experiments with comparison between two groups.

For groups with multiple samples, the Bonferroni correction was applied.

Comparisons between means were performed using one-tailed Student's t-test for paired data with Bonferroni correction for multiple sampling as appropriate.

This involved linear modeling for each gene, use of an empirical Bayes method to moderate the standard errors of the estimated log-fold changes, and correction for multiple sampling using the method of Benjamani and Hochberg [ 34].