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Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets, , , , , , and . Scientific Reports, (July 2021)Learning Pathway Dynamics from Single‐Cell Proteomic Data: A Comparative Study, , and . Cytometry part A, Special Issue: Machine Learning for Single Cell Data,, (2020)SCENERY: a web application for (causal) network reconstruction from cytometry data, , , , , , , and . Nucleic Acids Research, (July 2017)Challenges in the Multivariate Analysis of Mass Cytometry Data: The Effect of Randomization, , , , , , and . Cytometry Part A, (2019)Feedforward regulation of Myc coordinates lineage-specific with housekeeping gene expression during B cell progenitor cell differentiation, , , , , , , , , and 14 other author(s). PLOS Biology, 17 (4): 1-28 (April 2019)A machine learning approach utilizing DNA methylation as an accurate classifier of COVID-19 disease severity, , , , , and . Scientific Reports, 12 (1): 17480-- (2022)SCENERY: a web application for (causal) network reconstruction from cytometry data, , , , , , , and . Nucleic Acids Research, (May 2017)Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment, , , , , , , , , and 19 other author(s). Frontiers in Microbiology, (2021)