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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "countland" in publications use:'
type: software
license: MIT
title: 'countland: Analysis of Biological Count Data, Especially from Single-Cell
  RNA-Seq'
version: 0.1.2
doi: 10.32614/CRAN.package.countland
abstract: 'A set of functions for applying a restricted linear algebra to the analysis
  of count-based data. See the accompanying preprint manuscript: "Normalizing need
  not be the norm: count-based math for analyzing single-cell data" Church et al (2022)
  <https://doi.org/10.1101/2022.06.01.494334> This tool is specifically designed to
  analyze count matrices from single cell RNA sequencing assays. The tools implement
  several count-based approaches for standard steps in single-cell RNA-seq analysis,
  including scoring genes and cells, comparing cells and clustering, calculating differential
  gene expression, and several methods for rank reduction. There are many opportunities
  for further optimization that may prove useful in the analysis of other data. We
  provide the source code freely available at <https://github.com/shchurch/countland>
  and encourage users and developers to fork the code for their own purposes.'
authors:
- family-names: Samuel H.
  given-names: Church
  email: samuelhchurch@gmail.com
  orcid: https://orcid.org/0000-0002-8451-103X
repository: https://shchurch.r-universe.dev
repository-code: https://github.com/shchurch/countland
commit: 348e6886f6d3399cbf9af8c703bb858b689f5aea
url: https://github.com/shchurch/countland
date-released: '2024-02-01'
contact:
- family-names: Samuel H.
  given-names: Church
  email: samuelhchurch@gmail.com
  orcid: https://orcid.org/0000-0002-8451-103X