CENA is a method for a joint identification of pairwise association together with the particular subset of cells in which the association is detected. The algorithm relies on the input cell-state space to ensure a common cell state of all cells in the inferred cell subset. In this implementation, CENA tests association between multiple pairs of features: the expression of each gene against one additional meta-data.
Package details |
|
---|---|
Maintainer | Maya Levy <mayalevy4444@gmail.com> |
License | GPL-2 |
Version | 0.1.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.