To cite the scp package in publications use:

  Vanderaa, Christophe, and Laurent Gatto. 2023.  Revisiting the Thorny
  Issue of Missing Values in Single-Cell Proteomics. Journal of
  Proteome Research 22 (9): 2775–84.

A BibTeX entry for LaTeX users is

  @Article{,
    title = {Revisiting the thorny issue of missing values in single-cell proteomics},
    author = {Christophe Vanderaa and Laurent Gatto},
    journal = {J. Proteome Res.},
    volume = {22},
    number = {9},
    pages = {2775--2784},
    month = {sep},
    year = {2023},
  }

  Vanderaa Christophe and Laurent Gatto. The current state of
  single-cell proteomics data analysis. Current Protocols 3 (1): e658.;
  doi: https://doi.org/10.1002/cpz1.658 (2023).

A BibTeX entry for LaTeX users is

  @Article{,
    title = {The current state of single-cell proteomics data analysis},
    author = {Christophe Vanderaa and Laurent Gatto},
    journal = {Current Protocols},
    year = {2023},
    pages = {e658},
  }

  Vanderaa Christophe and Laurent Gatto. Replication of Single-Cell
  Proteomics Data Reveals Important Computational Challenges. Expert
  Review of Proteomics, 1–9 (2021).

A BibTeX entry for LaTeX users is

  @Article{,
    title = {Replication of Single-Cell Proteomics Data Reveals Important Computational Challenges},
    author = {Christophe Vanderaa and Laurent Gatto},
    journal = {Expert Review of Proteomics},
    year = {2021},
    pages = {1-9},
  }

  Vanderaa Christophe and Laurent Gatto. scplainer: using linear models
  to understand mass spectrometry-based single-cell proteomics data.
  bioRxiv 2023.12.14.571792; doi:
  https://doi.org/10.1101/2023.12.14.571792

A BibTeX entry for LaTeX users is

  @Article{,
    title = {scplainer: using linear models to understand mass spectrometry-based single-cell proteomics data},
    author = {Christophe Vanderaa and Laurent Gatto},
    journal = {bioRxiv},
    year = {2024},
  }