For large samples, the p-value can be computed by replacing the unknown correlation by the sample correlation, and the resulting test is quite satisfactory.
Individuals of the same breed clustered closely in the phylogenetic tree (fig. 1 b), which was corroborated by sample correlation plot analysis (supplementary fig. S3 b, Supplementary Material online).
Our results showed that, although we did obtain gene expression data using RQ-PCR in our FFPE samples, both the overall and the sample-by-sample correlation between fresh-frozen and FFPE samples was notably lower for RQ-PCR data than for data obtained using NanoString.
Genes assigned to cluster 2 were further classified into subclusters 2a and 2b on the basis of the number of runs in which a gene was assigned to cluster 2. Within-sample normalized read counts in units of transcripts per million (TPM) (Li and Dewey 2011) were also used to generate between-sample correlation and gene-by-sample heatmaps.
If we adopt a method-of-moments (MOM) approach for the bivariate Poisson distribution, p is estimated by the sample correlation of the counts, as observed also by Royle (2004b), and is estimated by dividing by this estimate of p. For more than two visits, p can be estimated by the mean of all sample correlations between counts for different sampling occasions.
Pseudo- R statistics were calculated by computing and squaring the sample correlation between observed and predicted values of disability 48 and are reported as an approximate indicator of the proportion of variance explained.
R is measured by the squared sample correlation coefficient between the polygenic score and the outcome in the test set.
The correlation method approximates linear dependence by calculating the sample correlation [ 35] of two columns of S. The sample correlation is given by (13) where (14) (15) (16) In equations (13)–(16) corr(S. i, S. j ), cov(S.
Under the assumption that the signal is true, by estimating the sample correlation between visits, one could estimate the potential increase in significance for that SNP if an additional visit were obtained.
We used a leave-one-out cross-validation approach, and prediction accuracy was quantified by calculating the squared sample correlation coefficient (r).
