DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics

@inproceedings{Wieczorek2017DAPARP,
  title={DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics},
  author={Samuel Wieczorek and Florence Combes and Cosmin Lazar and Quentin Giai Gianetto and Laurent Gatto and Alexia Dorffer and Anne-Marie Hesse and Yohann Cout{\'e} and Myriam Ferro and Christophe Bruley and Thomas Burger},
  booktitle={Bioinformatics},
  year={2017}
}
DAPAR and ProStaR are software tools to perform the statistical analysis of label-free XIC-based quantitative discovery proteomics experiments. DAPAR contains procedures to filter, normalize, impute missing value, aggregate peptide intensities, perform null hypothesis significance tests and select the most likely differentially abundant proteins with a… CONTINUE READING