# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "scPCA" in publications use:' type: software license: MIT title: 'scPCA: Sparse Contrastive Principal Component Analysis' version: 1.19.0 abstract: A toolbox for sparse contrastive principal component analysis (scPCA) of high-dimensional biological data. scPCA combines the stability and interpretability of sparse PCA with contrastive PCA's ability to disentangle biological signal from unwanted variation through the use of control data. Also implements and extends cPCA. authors: - family-names: Boileau given-names: Philippe email: philippe_boileau@berkeley.edu orcid: https://orcid.org/0000-0002-4850-2507 - family-names: Hejazi given-names: Nima email: nh@nimahejazi.org orcid: https://orcid.org/0000-0002-7127-2789 preferred-citation: type: manual title: 'scPCA: Sparse contrastive principal component analysis' authors: - family-names: Boileau given-names: Philippe email: philippe_boileau@berkeley.edu orcid: https://orcid.org/0000-0002-4850-2507 - family-names: Hejazi given-names: Nima S - family-names: Dudoit given-names: Sandrine year: '2020' url: https://bioconductor.org/scPCA repository: https://bioc.r-universe.dev repository-code: https://github.com/PhilBoileau/scPCA url: https://github.com/PhilBoileau/scPCA contact: - family-names: Boileau given-names: Philippe email: philippe_boileau@berkeley.edu orcid: https://orcid.org/0000-0002-4850-2507 references: - type: article title: 'scPCA: A toolbox for sparse contrastive principal component analysis in R' authors: - family-names: Boileau given-names: Philippe - family-names: Hejazi given-names: Nima S - family-names: Dudoit given-names: Sandrine journal: Journal of Open Source Software publisher: name: The Open Journal volume: '5' issue: '46' year: '2020' doi: 10.21105/joss.02079 url: https://doi.org/10.21105/joss.02079 - type: article title: Exploring high-dimensional biological data with sparse contrastive principal component analysis authors: - family-names: Boileau given-names: Philippe - family-names: Hejazi given-names: Nima S - family-names: Dudoit given-names: Sandrine journal: Bioinformatics year: '2020' month: '3' doi: 10.1093/bioinformatics/btaa176 url: https://doi.org/10.1093/bioinformatics/btaa176