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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 "SGCP" in publications use:'
type: software
license: GPL-3.0-only
title: 'SGCP: SGCP: A semi-supervised pipeline for gene clustering using self-training
  approach in gene co-expression networks'
version: 1.5.2
abstract: SGC is a semi-supervised pipeline for gene clustering in gene co-expression
  networks. SGC consists of multiple novel steps that enable the computation of highly
  enriched modules in an unsupervised manner. But unlike all existing frameworks,
  it further incorporates a novel step that leverages Gene Ontology information in
  a semi-supervised clustering method that further improves the quality of the computed
  modules.
authors:
- family-names: AghaieAbiane
  given-names: Niloofar
  email: niloofar.abiane@gmail.com
  orcid: https://orcid.org/0000-0003-1096-7592
- family-names: Koutis
  given-names: Ioannis
  email: ikoutis@njit.edu
preferred-citation:
  type: article
  title: 'SGCP: A semi-supervised pipeline for gene clustering using self-training
    approach in gene co-expression networks'
  authors:
  - family-names: Aghaieabiane
    given-names: Niloofar
    email: niloofar.abiane@gmail.com
    orcid: https://orcid.org/0000-0003-1096-7592
  - family-names: Koutis
    given-names: Ioannis
    email: ikoutis@njit.edu
  year: '2022'
  journal: arXiv
  url: https://arxiv.org/abs/2209.10545
repository: https://bioc.r-universe.dev
repository-code: https://github.com/na396/SGCP
url: https://github.com/na396/SGCP
date-released: '2022-12-10'
contact:
- family-names: AghaieAbiane
  given-names: Niloofar
  email: niloofar.abiane@gmail.com
  orcid: https://orcid.org/0000-0003-1096-7592