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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 "jrSiCKLSNMF" in publications use:'
type: software
license: GPL-3.0-only
title: 'jrSiCKLSNMF: Clustering Single-Cell Multimodal Omics Data with Joint Graph
  Regularized Single-Cell Kullback-Leibler Sparse Non-Negative Matrix Factorization'
version: 2.0.0
doi: 10.3389/fgene.2023.1179439
identifiers:
- type: doi
  value: 10.32614/CRAN.package.jrSiCKLSNMF
abstract: Methods to perform Joint graph Regularized Single-Cell Kullback-Leibler
  Sparse Non-negative Matrix Factorization (jrSiCKLSNMF, pronounced "junior sickles
  NMF") on quality controlled multi-assay single-cell omics count data, specifically
  dual-assay scRNA-seq and scATAC-seq data. 'jrSiCKLSNMF' extracts meaningful latent
  factors that are shared across omics views. These factors enable accurate cell-type
  clustering, and facilitate visualizations. Also includes methods for mini- batch
  updates and other adaptations for larger datasets.
authors:
- family-names: Ellis
  given-names: Dorothy
  email: ddemoreellis@gmail.com
  orcid: https://orcid.org/0000-0002-8624-0042
preferred-citation:
  type: article
  title: Clustering single-cell multimodal omics data with jrSiCKLSNMF
  authors:
  - family-names: Ellis
    given-names: Dorothy
    email: ddemoreellis@gmail.com
    orcid: https://orcid.org/0000-0002-8624-0042
  - family-names: Roy
    given-names: Arkaprava
  - family-names: Datta
    given-names: Susmita
  journal: Frontiers in Genetics
  volume: '14'
  year: '2023'
  doi: 10.3389/fgene.2023.1179439
  url: https://www.frontiersin.org/articles/10.3389/fgene.2023.1179439
repository: https://ellisdoro.r-universe.dev
commit: c0c5253223e4d451d862dbf7991f0b8fde49707b
contact:
- family-names: Ellis
  given-names: Dorothy
  email: ddemoreellis@gmail.com
  orcid: https://orcid.org/0000-0002-8624-0042