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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 "scCAN" in publications use:'
type: software
license: LGPL-2.0-only
title: 'scCAN: Single-Cell Clustering using Autoencoder and Network Fusion'
version: 1.0.5
doi: 10.32614/CRAN.package.scCAN
abstract: A single-cell Clustering method using 'Autoencoder' and Network fusion ('scCAN')
  Bang Tran (2022) <https://doi.org/10.1038/s41598-022-14218-6> for segregating the
  cells from the high-dimensional 'scRNA-Seq' data. The software automatically determines
  the optimal number of clusters and then partitions the cells in a way such that
  the results are robust to noise and dropouts. 'scCAN' is fast and it supports Windows,
  Linux, and Mac OS.
authors:
- family-names: Tran
  given-names: Bang
  email: s.tran@csus.edu
- family-names: Tran
  given-names: Duc
- family-names: Nguyen
  given-names: Hung
repository: https://cranhaven.r-universe.dev
commit: b846b2c7fa53ed1ae60e4ebe22dcbaf0aae75b85
date-released: '2024-06-13'
contact:
- family-names: Tran
  given-names: Bang
  email: s.tran@csus.edu