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 dataPapers that mentioned: 2
Very Likely Science (100)
Very Likely Science (75)
bioconductor: flowCore
flowCore: Basic structures for flow cytometry dataPapers that mentioned: 109
Very Likely Science (75)
bioconductor: flowCut
Automated Removal of Outlier Events and Flagging of Files Based on Time Versus Fluorescence AnalysisPapers that mentioned: 2
Very Likely Science (85)
Very Likely Science (73)
bioconductor: FlowSOM
Using self-organizing maps for visualization and interpretation of cytometry dataPapers that mentioned: 177
Very Likely Science (75)
Very Likely Science (100)
Very Likely Science (100)
pypi: PhenoGraph
Graph-based clustering for high-dimensional single-cell dataPapers that mentioned: 96
Very Likely Science (100)