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Papers: 10.1093/gigascience/giy083

https://doi.org/10.1093/gigascience/giy083

Clustering trees: a visualization for evaluating clusterings at multiple resolutions

Cited by: 353
Author(s): Luke Zappia, Alicia Oshlack
Published: about 8 years ago

Software Mentions 9

cran: clustree
Visualise Clusterings at Different Resolutions
Papers that mentioned: 8
Very Likely Science (75)
cran: cowplot
Streamlined Plot Theme and Plot Annotations for 'ggplot2'
Papers that mentioned: 298
Very Likely Science (83)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: ggraph
An Implementation of Grammar of Graphics for Graphs and Networks
Papers that mentioned: 58
Very Likely Science (91)
cran: igraph
Network Analysis and Visualization
Papers that mentioned: 1,555
Very Likely Science (100)
cran: Seurat
Tools for Single Cell Genomics
Papers that mentioned: 1,512
Very Likely Science (100)
cran: tidygraph
A Tidy API for Graph Manipulation
Papers that mentioned: 23
Very Likely Science (75)
pypi: igraph
High performance graph data structures and algorithms
Papers that mentioned: 1,555
Very Likely Science (100)
pypi: stats
Calculator-style statistical functions
Papers that mentioned: 3,105
Very Likely Science (90)