mayalevy/CENA: A method for a joint identification of pairwise association together with the particular cell subset of association

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.

Getting started

Package details

MaintainerMaya Levy <mayalevy4444@gmail.com>
LicenseGPL-2
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("mayalevy/CENA")
mayalevy/CENA documentation built on Jan. 29, 2020, 4:42 p.m.