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Getting Started in Computational Mass Spectrometry-Based Proteomics.. PLoS Computational Biology, (2009)A Bayesian Active Learning Experimental Design for Inferring Signaling Networks., , , and . RECOMB, volume 10229 of Lecture Notes in Computer Science, page 134-156. (2017)Noise reduction in genome-wide perturbation screens using linear mixed-effect models., , , , , , and . Bioinformatics, 27 (16): 2173-2180 (2011)Identification and quantification of metabolites in 1H NMR spectra by Bayesian model selection., , , , and . Bioinformatics, 27 (12): 1637-1644 (2011)A Bayesian Active Learning Experimental Design for Inferring Signaling Networks., , , and . Journal of Computational Biology, 25 (7): 709-725 (2018)Statistical Inference of Peroxisome Dynamics., , , and . RECOMB, volume 10812 of Lecture Notes in Computer Science, page 54-74. Springer, (2018)On the Impact of Programming Languages on Code Quality., , , , and . CoRR, (2019)Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics., , , , , , , , , and 4 other author(s). BMC Bioinformatics, (2008)MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments., , , , , , and . Bioinformatics, 30 (17): 2524-2526 (2014)A framework for installable external tools in Skyline., , , , , , , , , and 8 other author(s). Bioinformatics, 30 (17): 2521-2523 (2014)