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Protein mass spectra data analysis for clinical biomarker discovery: a global review., , , , and . Briefings Bioinform., 12 (2): 176-186 (2011)Variable selection for noisy data applied in proteomics., , , , , , , , , and . ICASSP, page 2833-2837. IEEE, (2014)Statistical method to compare massive parallel sequencing pipelines., , , , , , , , , and . BMC Bioinform., 18 (1): 139:1-139:11 (2017)Variance component analysis to assess protein quantification in biomarker validation: application to selected reaction monitoring-mass spectrometry., , , , , , , , , and 3 other author(s). BMC Bioinform., 19 (1): 73:1-73:12 (2018)MRI-Guided Thrombolysis for Stroke with Unknown Time of Onset, , , , , , , , , and 32 other author(s). New England Journal of Medicine, (May 16, 2018)Importance of data structure in comparing two dimension reduction methods for classification of microarray gene expression data., , , , and . BMC Bioinform., (2007)FlauBERT vs. CamemBERT: Understanding patient's answers by a French medical chatbot., , , , , , and . Artif. Intell. Medicine, (2022)Bayesian inference for biomarker discovery in proteomics: an analytic solution., , , , , , , , , and 1 other author(s). EURASIP J. Bioinform. Syst. Biol., (2017)Effects of dataset size and interactions on the prediction performance of logistic regression and deep learning models., , , , , , and . Comput. Methods Programs Biomed., (2022)Comparative optimism in models involving both classical clinical and gene expression information., , and . BMC Bioinform., (2008)