title: "Introduction to ELVAR" author:

• name: "Alok Maity and Andrew E. Teschendorff" affiliation:

  • CAS Key Lab of Computational Biology, PICB, SINH date: "2023-04-27" package: ELVAR output: BiocStyle::html_document: toc_float: true

Summary

ELVAR is an R-package for differential abundance (DA) testing of cell-types in single-cell RNA-Seq data. It implements an Extended Louvain clustering Algorithm (EVA) that takes cell attribute information into acccount when inferring cellular communities from the cell-cell nearest neighbour graph. By taking cell attribute information into account, improved community detection is possible, which improves the power to detect DA-shifts of cell-types in relation to disease risk factors or disease itself.

Installation

To install:

library(devtools)
devtools::install_github("aet21/ELVAR")

References

Cell-attribute aware community detection improves differential abundance testing from single-cell RNA-Seq data. Alok K Maity, Andrew E Teschendorff. Submitted 2022.