Colorbar represents T score intensity for each contrast.
aPatients analyzed; bvalues represent T-score change from baseline; cdata from 100-month analysis, n = 6,241; dincludes endometrial hyperplasia and neoplasia, cervical neoplasm, and enlarged uterine fibroids.
Because the length of each branch in the phylogenetic tree represents a λ t score and because the time after the bifurcation should be same in each case, the relative evolutionary rates of the different lineages can be estimated from the branch length.
The T score represents the number of standard deviation differences between an individual's bone mineral density versus that of the mean of the population at peak bone mass.
Given a gene expression profile similar to those in Figure 8, the Shannon entropy (H) can be calculated as H = ∑ t = 1 n p t. l o g 2 (p t ), and, p t = w t ∑ t = 1 n w t, where w t represents the expression score for tissue t, and p t is calculated by normalizing this value relative to the sum of expression scores for all tissues.
We used frequency data to examine both average T score intensity (to represent size of difference between case vs. control brain volume) and absolute number of studies reporting on specific brain regions, by aggregating T-statistics, generalising to a specific lobe of the brain (including mid-brain) and calculating an average score.
Pearson's correlation (represented as a t statistic or ' t score') was used as previously described [ 21, 22], in order to assess the global similarity of gene patterns between PTEN-low and other known gene signatures.
T scores > 63 (> 90th percentile) represent the clinical range, and T scores between 60 and 63 (83rd to 90th percentile) represent the borderline range.
Results were expressed as T scores representing the number of standard deviations below the average for a young adult at peak bone density.
Scores assigned to the chosen gene pairs were in turn used to build networks, in which nodes represent Arabidopsis genes, and an edge in the network connects any two genes whose score exceeds a given threshold, denoted by t score.
Thus, if the time series of K subjects in n variables are given and X i,k (t) represents the score of the kth person in the ith variable at time t, we consider the joint regression model for i = 1,..., n and k = 1,..., K, which yields n2 regression coefficient β ij, i, j = 1,..., n.
