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Papers: 10.3390/vaccines8010138

https://doi.org/10.3390/vaccines8010138

From Bivariate to Multivariate Analysis of Cytometric Data: Overview of Computational Methods and Their Application in Vaccination Studies

Cited by: 12
Author(s): Simone Lucchesi, Simone Furini, Donata Medaglini, Annalisa Ciabattini
Published: over 6 years ago

Software Mentions 9

bioconductor: flowClust
Clustering for Flow Cytometry
Papers that mentioned: 33
Very Likely Science (90)
bioconductor: flowMeans
Non-parametric Flow Cytometry Data Gating
Papers that mentioned: 17
Very Likely Science (90)
bioconductor: flowPeaks
An R package for flow data clustering
Papers that mentioned: 11
Very Likely Science (75)
bioconductor: FlowSOM
Using self-organizing maps for visualization and interpretation of cytometry data
Papers that mentioned: 177
Very Likely Science (75)
bioconductor: flowStats
Statistical methods for the analysis of flow cytometry data
Papers that mentioned: 19
Very Likely Science (100)
bioconductor: immunoClust
immunoClust - Automated Pipeline for Population Detection in Flow Cytometry
Papers that mentioned: 2
Very Likely Science (75)
cran: Clustering
Techniques for Evaluating Clustering
Papers that mentioned: 65
Very Likely Science (75)
cran: EmbedSOM
Fast Embedding Guided by Self-Organizing Map
Papers that mentioned: 4
Very Likely Science (100)
pypi: PhenoGraph
Graph-based clustering for high-dimensional single-cell data
Papers that mentioned: 96
Very Likely Science (100)