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Papers: 10.1128/mSystems.00895-20

https://doi.org/10.1128/mSystems.00895-20

Computational Analysis of Microbial Flow Cytometry Data

Cited by: 16
Author(s): Peter Rubbens, Ruben Props
Published: over 4 years ago

Software Mentions 9

bioconductor: flowAI
Automatic and interactive quality control for flow cytometry data
Papers that mentioned: 2
Very Likely Science (100)
bioconductor: flowClean
flowClean
Papers that mentioned: 2
Very Likely Science (75)
bioconductor: flowCore
flowCore: Basic structures for flow cytometry data
Papers that mentioned: 109
Very Likely Science (75)
bioconductor: flowCut
Automated Removal of Outlier Events and Flagging of Files Based on Time Versus Fluorescence Analysis
Papers that mentioned: 2
Very Likely Science (85)
bioconductor: flowFP
Fingerprinting for Flow Cytometry
Papers that mentioned: 4
Very Likely Science (73)
bioconductor: FlowSOM
Using self-organizing maps for visualization and interpretation of cytometry data
Papers that mentioned: 177
Very Likely Science (75)
bioconductor: flowViz
Visualization for flow cytometry
Papers that mentioned: 26
Very Likely Science (100)
bioconductor: ggcyto
Visualize Cytometry data with ggplot
Papers that mentioned: 13
Very Likely Science (100)
pypi: PhenoGraph
Graph-based clustering for high-dimensional single-cell data
Papers that mentioned: 96
Very Likely Science (100)