[1] Wieczorek S, Combes F, Lazar C, Giai-Gianetto Q, Gatto L, Dorffer A, Hesse AM, Couté Y, Ferro M, Bruley C and Burger T. DAPAR & ProStaR: Software to perform statistical analyses in quantitative discovery proteomics.
Bioinformatics, 2016
[2] Giai Gianetto Q, Couté Y, Bruley C and Burger T. Uses and misuses of the fudge factor in quantitative discovery proteomics.
Proteomics, 2016
[3] Lazar C, Gatto L, Ferro M, Bruley C and Burger T. Accounting for the multiple natures of missing values in label-free quantitative proteomics datasets to compare imputation strategies.
Journal of Proteome Research, 2016,
15(4): 1116-1125
[4] Giai Gianetto Q, Combes F, Ramus C, Bruley C, Couté Y and Burger T. Calibration plot for proteomics: A graphical tool to visually check the assumptions underlying FDR control in quantitative experiments.
Proteomics, 2016,
16(1): 29-32