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A Bayesian Active Learning Experimental Design for Inferring Signaling Networks., , , and . RECOMB, volume 10229 of Lecture Notes in Computer Science, page 134-156. (2017)Getting Started in Computational Mass Spectrometry-Based Proteomics.. PLoS Computational Biology, (2009)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)On the Impact of Programming Languages on Code Quality., , , , and . CoRR, (2019)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)Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics., , , , , , , , , and 4 other author(s). BMC Bioinformatics, (2008)matter: an R package for rapid prototyping with larger-than-memory datasets on disk., and . Bioinformatics, 33 (19): 3142-3144 (2017)Unsupervised segmentation of mass spectrometric ion images characterizes morphology of tissues., , , , and . Bioinformatics, 35 (14): i208-i217 (2019)