Gene correlation matrices and topological overlap were then calculated. To make sure that the scale-free network calculated the pairwise Pearson correlation coefficients between each gene ...

The Gaussian copula with a time-evolving correlation matrix R (t) is defined as: where Rt is the multivariate normal CDF with correlation matrix R (t), and -1is the inverse of the standard normal CDF.

Remember that last Matrix movie? The one about capital subsuming all critique, turning it into a trendy and infinitely exploitable set of meaningless images and signifiers divorced from their ...

From the groundbreaking 2001: A Space Odyssey to the immersive Avatar, the sci-fi movies with the best visuals are influential masterpieces made to mesmerize.

The correlation coefficient is a statistical measure of the strength of the relationship between two data variables.

Firstly, we identified co-expressed genes associated with COL10A1 expression in the TCGA-BLCA datasets in R software and retained only protein-coding genes. We used Pearson’s correlation coefficient ...

The ggcorrplot package can be used to visualize easily a correlation matrix using ggplot2. It provides a solution for reordering the correlation matrix and displays the significance level on the ...

For everything from styling text and customizing color palettes to creating your own geoms, these ggplot2 add-ons deserve a place in your R data visualization toolkit. Plus, a bonus list of ...