# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "SPAROscore" in publications use:'
type: software
license: GPL-3.0-only
title: 'SPAROscore: A package to compute gene signature scores from transcriptomics
  data'
version: 0.99.3
doi: 10.32614/CRAN.package.SPAROscore
abstract: SPAROscore is a gene signature scoring method designed to be robust across
  diverse gene expression datasets. SPAROscore adapts to varying levels of sparsity,
  allowing signature scores to be efficiently computed across bulk, single-cell, and
  spatial transcriptomic datasets. The resulting scores quantify the relative expression
  of a gene signature compared with the background expression of each sample/cell/domain,
  making the scores straightforward to interpret biologically. Internally, SPAROscore
  ranks genes within each column and computes the Spearman footrule distance between
  the observed ranks of the signature genes and a background gene expression rank
  estimated from the geometric mean expression of the sample, cell, or spatial domain.
authors:
- family-names: Kamaraj
  given-names: Venkatesh
  email: venkatesh.kamaraj@adelaide.edu.au
  orcid: https://orcid.org/0009-0008-7309-9810
repository: https://biocstaging.r-universe.dev
repository-code: https://github.com/MangiolaLaboratory/SPAROscore
commit: bb23f80ef8e9fca0dd1d3e8362a266d8dd2a0af6
url: https://github.com/MangiolaLaboratory/SPAROscore
date-released: '2026-07-22'
contact:
- family-names: Kamaraj
  given-names: Venkatesh
  email: venkatesh.kamaraj@adelaide.edu.au
  orcid: https://orcid.org/0009-0008-7309-9810