If X and Y are independent, Pearson’s correlation coefficient is

If X and Y are independent, Pearson’s correlation coefficient is 0. A positive r value for the correlation implies a positive association (large values of X tend to be associated with large values of Y, and small values of X tend to be associated with small values of Y). A negative value for the correlation means an inverse association (large values of X tend to be associated with small values of Y, and vice versa).

In the analysis of the relationship between the low and high-titre infections, is the average R value GSK2118436 research buy of the low-titre infection at a given time point, and is the average R value at the same time point in the high-titre infection. SX and SY are the SEM (standard error of the mean) values and n is the sample number. Acknowledgements This study was supported by Hungarian National Fund for Human Frontiers Science Program Young Investigator

grant (No. Selleckchem MK-0518 RGY0073/2006) to Z.B. Electronic supplementary material Additional file 1: The running curves of R, R Δ , and R a values. (DOC 5 MB) Additional file 2: The relative expression ratio (R), the R Δ , and R a values. (DOC 204 KB) Additional file 3: Comparison of R, R Δ and R a values of low and high MOI infection by Pearson correlation. (DOC 81 KB) References 1. Tombácz D, Tóth JS, Petrovszki P, Boldogköi Z: Whole-genome analysis of pseudorabies JPH203 virus gene expression by real-time quantitative RT-PCR assay. BMC Genomics 2009, 10:491.PubMedCrossRef 2. Aujeszky A: A contagious disease, not readily distinguishable

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