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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 "NeuCA" in publications use:'
type: software
license: GPL-2.0-only
title: 'NeuCA: NEUral network-based single-Cell Annotation tool'
version: 1.11.0
abstract: NeuCA is is a neural-network based method for scRNA-seq data annotation.
  It can automatically adjust its classification strategy depending on cell type correlations,
  to accurately annotate cell. NeuCA can automatically utilize the structure information
  of the cell types through a hierarchical tree to improve the annotation accuracy.
  It is especially helpful when the data contain closely correlated cell types.
authors:
- family-names: Li
  given-names: Ziyi
  email: ZLi16@mdanderson.org
- family-names: Feng
  given-names: Hao
  email: hxf155@case.edu
repository: https://bioc.r-universe.dev
date-released: '2024-03-06'
contact:
- family-names: Feng
  given-names: Hao
  email: hxf155@case.edu