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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 "scDHA" in publications use:'
type: software
license: GPL-3.0-only
title: 'scDHA: Single-Cell Decomposition using Hierarchical Autoencoder'
version: 1.2.2
identifiers:
- type: doi
  value: 10.32614/CRAN.package.scDHA
abstract: Provides a fast and accurate pipeline for single-cell analyses. The 'scDHA'
  software package can perform clustering, dimension reduction and visualization,
  classification, and time-trajectory inference on single-cell data (Tran et.al. (2021)
  <DOI:10.1038/s41467-021-21312-2>).
authors:
- family-names: Nguyen
  given-names: Ha
  email: hvn0006@auburn.edu
- family-names: Tran
  given-names: Duc
  email: duct@nevada.unr.edu
preferred-citation:
  type: article
  title: Fast and precise single-cell data analysis using a hierarchical autoencoder
  authors:
  - family-names: Tran
    given-names: Duc
    email: duct@nevada.unr.edu
  - family-names: Nguyen
    given-names: Hung
  - family-names: Tran
    given-names: Bang
  - family-names: La Vecchia
    given-names: Carlo
  - family-names: Luu
    given-names: Hung N.
  - family-names: Nguyen
    given-names: Tin
  year: '2021'
  journal: Nature Communications
  url: https://www.nature.com/articles/s41467-021-21312-2
repository: https://cranhaven.r-universe.dev
repository-code: https://github.com/duct317/scDHA
commit: 033f170f7a29d6690ba8643e62fd0ac90a218e27
url: https://github.com/duct317/scDHA
date-released: '2024-04-02'
contact:
- family-names: Nguyen
  given-names: Ha
  email: hvn0006@auburn.edu