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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 "ASURAT" in publications use:'
type: software
license: GPL-3.0-only
title: 'ASURAT: Functional annotation-driven unsupervised clustering for single-cell
  data'
version: 1.16.0
doi: 10.32614/CRAN.package.ASURAT
abstract: ASURAT is a software for single-cell data analysis. Using ASURAT, one can
  simultaneously perform unsupervised clustering and biological interpretation in
  terms of cell type, disease, biological process, and signaling pathway activity.
  Inputting a single-cell RNA-seq data and knowledge-based databases, such as Cell
  Ontology, Gene Ontology, KEGG, etc., ASURAT transforms gene expression tables into
  original multivariate tables, termed sign-by-sample matrices (SSMs).
authors:
- family-names: Iida
  given-names: Keita
  email: kiida@protein.osaka-u.ac.jp
  orcid: https://orcid.org/0000-0002-1076-830X
repository: https://bioc-release.r-universe.dev
commit: c4b67bbfb3159f51286cfe29e252a9fc7b34f1e9
date-released: '2026-04-28'
contact:
- family-names: Iida
  given-names: Keita
  email: kiida@protein.osaka-u.ac.jp
  orcid: https://orcid.org/0000-0002-1076-830X