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Peter Rubbens

Showing results (1-10 of 15) with videos related to

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Msystems|January 20, 2021
Computational Analysis of Microbial Flow Cytometry DataPeter Rubbens, Ruben Props
Analytical Chemistry|April 25, 2020
Fast Pathogen Identification Using Single-Cell Matrix-Assisted Laser Desorption/Ionization-Aerosol Time-of-Flight Mass Spectrometry Data and Deep Learning MethodsChristina Papagiannopoulou, René Parchen, Peter Rubbens, et al.
Plos One|January 26, 2017
Flow Cytometric Single-Cell Identification of Populations in Synthetic Bacterial CommunitiesPeter Rubbens, Ruben Props, Nico Boon, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|November 23, 2017
Stripping flow cytometry: How many detectors do we need for bacterial identification?Peter Rubbens, Ruben Props, Cristina Garcia-Timermans, et al.
Msphere|February 4, 2021
PhenoGMM: Gaussian Mixture Modeling of Cytometry Data Quantifies Changes in Microbial Community StructurePeter Rubbens, Ruben Props, Frederiek-Maarten Kerckhof, et al.
The ISME Journal|September 4, 2020
Cytometric fingerprints of gut microbiota predict Crohn's disease statePeter Rubbens, Ruben Props, Frederiek-Maarten Kerckhof, et al.
Msystems|September 21, 2021
Predicting the Presence and Abundance of Bacterial Taxa in Environmental Communities through Flow Cytometric FingerprintingJasmine Heyse, Florian Schattenberg, Peter Rubbens, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|May 18, 2019
Learning Single-Cell Distances from Cytometry DataBac Nguyen, Peter Rubbens, Frederiek-Maarten Kerckhof, et al.
Applied and Environmental Microbiology|February 24, 2019
Coculturing Bacteria Leads to Reduced Phenotypic HeterogeneitiesJasmine Heyse, Benjamin Buysschaert, Ruben Props, et al.
Msystems|September 12, 2019
Randomized Lasso Links Microbial Taxa with Aquatic Functional Groups Inferred from Flow CytometryPeter Rubbens, Marian L Schmidt, Ruben Props, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Msystems|January 20, 2021
Computational Analysis of Microbial Flow Cytometry DataPeter Rubbens, Ruben Props
Analytical Chemistry|April 25, 2020
Fast Pathogen Identification Using Single-Cell Matrix-Assisted Laser Desorption/Ionization-Aerosol Time-of-Flight Mass Spectrometry Data and Deep Learning MethodsChristina Papagiannopoulou, René Parchen, Peter Rubbens, et al.
Plos One|January 26, 2017
Flow Cytometric Single-Cell Identification of Populations in Synthetic Bacterial CommunitiesPeter Rubbens, Ruben Props, Nico Boon, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|November 23, 2017
Stripping flow cytometry: How many detectors do we need for bacterial identification?Peter Rubbens, Ruben Props, Cristina Garcia-Timermans, et al.
Msphere|February 4, 2021
PhenoGMM: Gaussian Mixture Modeling of Cytometry Data Quantifies Changes in Microbial Community StructurePeter Rubbens, Ruben Props, Frederiek-Maarten Kerckhof, et al.
The ISME Journal|September 4, 2020
Cytometric fingerprints of gut microbiota predict Crohn's disease statePeter Rubbens, Ruben Props, Frederiek-Maarten Kerckhof, et al.
Msystems|September 21, 2021
Predicting the Presence and Abundance of Bacterial Taxa in Environmental Communities through Flow Cytometric FingerprintingJasmine Heyse, Florian Schattenberg, Peter Rubbens, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|May 18, 2019
Learning Single-Cell Distances from Cytometry DataBac Nguyen, Peter Rubbens, Frederiek-Maarten Kerckhof, et al.
Applied and Environmental Microbiology|February 24, 2019
Coculturing Bacteria Leads to Reduced Phenotypic HeterogeneitiesJasmine Heyse, Benjamin Buysschaert, Ruben Props, et al.
Msystems|September 12, 2019
Randomized Lasso Links Microbial Taxa with Aquatic Functional Groups Inferred from Flow CytometryPeter Rubbens, Marian L Schmidt, Ruben Props, et al.
Pageof 2