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Computational Analysis of Microbial Flow Cytometry Data 由 Rubbens, Peter, Props, Ruben

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Flow Cytometric Single-Cell Identification of Populations in Synthetic Bacterial Communities 由 Rubbens, Peter, Props, Ruben, Boon, Nico, Waegeman, Willem

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Cytometric fingerprints of gut microbiota predict Crohn’s disease state 由 Rubbens, Peter, Props, Ruben, Kerckhof, Frederiek-Maarten, Boon, Nico, Waegeman, Willem

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PhenoGMM: Gaussian Mixture Modeling of Cytometry Data Quantifies Changes in Microbial Community Structure 由 Rubbens, Peter, Props, Ruben, Kerckhof, Frederiek-Maarten, Boon, Nico, Waegeman, Willem

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Predicting the Presence and Abundance of Bacterial Taxa in Environmental Communities through Flow Cytometric Fingerprinting 由 Heyse, Jasmine, Schattenberg, Florian, Rubbens, Peter, Müller, Susann, Waegeman, Willem, Boon, Nico, Props, Ruben

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Coculturing Bacteria Leads to Reduced Phenotypic Heterogeneities 由 Heyse, Jasmine, Buysschaert, Benjamin, Props, Ruben, Rubbens, Peter, Skirtach, Andre G., Waegeman, Willem, Boon, Nico

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Randomized Lasso Links Microbial Taxa with Aquatic Functional Groups Inferred from Flow Cytometry 由 Rubbens, Peter, Schmidt, Marian L., Props, Ruben, Biddanda, Bopaiah A., Boon, Nico, Waegeman, Willem, Denef, Vincent J.

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Absolute quantification of microbial taxon abundances 由 Props, Ruben, Kerckhof, Frederiek-Maarten, Rubbens, Peter, De Vrieze, Jo, Hernandez Sanabria, Emma, Waegeman, Willem, Monsieurs, Pieter, Hammes, Frederik, Boon, Nico

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