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Flow Cytometric Single-Cell Identification of Populations in Synthetic Bacterial Communities.Absolute quantification of microbial taxon abundances.Stripping flow cytometry: How many detectors do we need for bacterial identification?Detection of microbial disturbances in a drinking water microbial community through continuous acquisition and advanced analysis of flow cytometry dataLabel-free Raman characterization of bacteria calls for standardized proceduresUsing machine learning to associate bacterial taxa with functional groups through flow cytometry, 16S rRNA gene sequencing, and productivity dataCoculturing bacteria leads to reduced phenotypic heterogeneitiesFrom Theory Choice to Theory Search: The Essential Tension Between Exploration and Exploitation in ScienceCoculturing Bacteria Leads to Reduced Phenotypic HeterogeneitiesLearning Single-Cell Distances from Cytometry DataRandomized Lasso Links Microbial Taxa with Aquatic Functional Groups Inferred from Flow CytometryDiscriminating Bacterial Phenotypes at the Population and Single-Cell Level: A Comparison of Flow Cytometry and Raman Spectroscopy Fingerprinting
P50
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P50
description
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Peter Rubbens
@ast
Peter Rubbens
@en
Peter Rubbens
@es
Peter Rubbens
@nl
type
label
Peter Rubbens
@ast
Peter Rubbens
@en
Peter Rubbens
@es
Peter Rubbens
@nl
prefLabel
Peter Rubbens
@ast
Peter Rubbens
@en
Peter Rubbens
@es
Peter Rubbens
@nl
P106
P21
P31
P496
0000-0001-5595-4758