inst/CITATION
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.
@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).
@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).
@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
@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},
}