# --------------------------------------------
# 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 "easybio" in publications use:'
type: software
license: MIT
title: 'easybio: Comprehensive Single-Cell Annotation and Transcriptomic Analysis
  Toolkit'
version: 1.1.0
doi: 10.1101/2024.09.14.609619
identifiers:
- type: doi
  value: 10.32614/CRAN.package.easybio
abstract: Provides a comprehensive toolkit for single-cell annotation with the 'CellMarker2.0'
  database (see Xia Li, Peng Wang, Yunpeng Zhang (2023) <https://doi.org/ 10.1093/nar/gkac947>).
  Streamlines biological label assignment in single-cell RNA-seq data and facilitates
  transcriptomic analysis, including preparation of TCGA<https://portal.gdc.cancer.gov/>
  and GEO<https://www.ncbi.nlm.nih.gov/geo/> datasets, differential expression analysis
  and visualization of enrichment analysis results. Additional utility functions support
  various bioinformatics workflows. See Wei Cui (2024) <https://doi.org/ 10.1101/2024.09.14.609619>
  for more details.
authors:
- family-names: Cui
  given-names: Wei
  email: m2c.w@outlook.com
  orcid: https://orcid.org/0009-0004-8315-5899
preferred-citation:
  type: article
  title: 'easybio: an R Package for Single-Cell Annotation with CellMarker2.0'
  authors:
  - name: Wei
  - name: Cui
  journal: bioRxiv
  year: '2024'
  doi: 10.1101/2024.09.14.609619
repository: https://bioconductor.org/
repository-code: https://github.com/person-c/easybio
url: https://github.com/person-c/easybio
date-released: '2024-09-16'
contact:
- family-names: Cui
  given-names: Wei
  email: m2c.w@outlook.com
  orcid: https://orcid.org/0009-0004-8315-5899