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Getting Started in Computational Mass Spectrometry-Based Proteomics.. PLoS Comput. Biol., (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)Effective Use of Likert Scales in Visualization Evaluations: A Systematic Review., , , , and . Comput. Graph. Forum, 41 (3): 43-55 (2022)Identification and quantification of metabolites in 1H NMR spectra by Bayesian model selection., , , , and . Bioinform., 27 (12): 1637-1644 (2011)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)A Bayesian Active Learning Experimental Design for Inferring Signaling Networks., , , and . J. Comput. Biol., 25 (7): 709-725 (2018)Investigating usability of MSstatsQC software., , , , and . CoRR, (2020)Noise reduction in genome-wide perturbation screens using linear mixed-effect models., , , , , , and . Bioinform., 27 (16): 2173-2180 (2011)A noise-robust deep clustering of biomolecular ions improves interpretability of mass spectrometric images., , , and . Bioinform., (February 2023)