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The expression of TNF-α and MMP-10 correlated weakly with TB progression, and was not significant for multiple parameter testing (p = 0.0057 and 0.0066, respectively; to account for testing of 12 parameters, p-value of 0.003 was considered significant).
While unadjusted P-values of TGFβ1 and TGFβ2 were significant at P < 0.01, more stringent multiple parameter testing resulted in false discovery rate (benjamini hochberg procedure) of 0.13 for both.
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That's because of the expense and complexity of these more comprehensive, multiple-parameter tests.
In vivo data were displayed in box-and-whisker plots, and compared using a Mann–Whitney U test or, for multiple parameters, Kruskal Wallis tests with a post hoc Dunn's multiple comparison.
For the validation, we kept data for the 500 name networks in memory (consuming less than 4 GB) to test multiple parameter configurations subsequently, so that each parameter test (disambiguation and validation of the 500 names) could be executed in about 5 seconds.
After removal of BSV on V1, addition of BOV on single or multiple parameters was tested in the model.
Multiple parameters were tested, and the parameters that yielded the greatest predictive accuracy accounted for the closing base pair and the number of purine and pyrimidine nucleotides in the bulge.
Differences between groups were tester by non-parametric methods, the Mann-Whitney U test (two factor comparisons) and Kruskal Wallis test (for more than two factors) with Dunns post test for multiple parameter comparisons.
Thus, we collected 50 correlation coefficients for any set of multiple imputations parameters tested.
We also performed scenario sensitivity analyses by changing multiple parameters simultaneously to test the robustness of our estimates under more extreme scenarios (Appendix 1. Supplemental materials are available with the online version of CORR®).
Flow cytometry overcomes many of these limitations; and in addition is quantitative, objective in nature, provides high-throughput capability, and offers the possibility of simultaneously testing multiple parameters.
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