Please cite the paper below for the 'scPCA' software package itself. Please also make sure to cite the appropriate articles describing the statistical methodology.

Boileau P, Hejazi NS, Dudoit S (2020). scPCA: Sparse contrastive principal component analysis. https://bioconductor.org/scPCA.

Boileau P, Hejazi NS, Dudoit S (2020). “scPCA: A toolbox for sparse contrastive principal component analysis in R.” Journal of Open Source Software, 5(46). doi:10.21105/joss.02079. https://doi.org/10.21105/joss.02079.

Boileau P, Hejazi NS, Dudoit S (2020). “Exploring high-dimensional biological data with sparse contrastive principal component analysis.” Bioinformatics. doi:10.1093/bioinformatics/btaa176. https://doi.org/10.1093/bioinformatics/btaa176.

Corresponding BibTeX entries:

  @Manual{,
    title = {{scPCA}: Sparse contrastive principal component analysis},
    author = {Philippe Boileau and Nima S Hejazi and Sandrine Dudoit},
    year = {2020},
    url = {https://bioconductor.org/scPCA},
  }

  @Article{,
    journal = {Journal of Open Source Software},
    title = {scPCA: A toolbox for sparse contrastive principal
      component analysis in R},
    author = {Philippe Boileau and Nima S Hejazi and Sandrine Dudoit},
    publisher = {The Open Journal},
    volume = {5},
    number = {46},
    page = {2079},
    year = {2020},
    doi = {10.21105/joss.02079},
    url = {https://doi.org/10.21105/joss.02079},
  }

  @Article{,
    journal = {Bioinformatics},
    title = {Exploring high-dimensional biological data with sparse
      contrastive principal component analysis},
    author = {Philippe Boileau and Nima S Hejazi and Sandrine Dudoit},
    year = {2020},
    month = {3},
    doi = {10.1093/bioinformatics/btaa176},
    url = {https://doi.org/10.1093/bioinformatics/btaa176},
  }