Search Results for "dendrogram"

ggraph adapts the Grammar of Graphics from ggplot2 for network and graph visualizations. It integrates with tidygraph/igraph data structures, providing a wide range of geoms, layouts (e.g. hive plots, circle packing), and layering methods tailored to hierarchical or relational data.

ggforce is an extension package for ggplot2 that introduces specialized statistical transforms, geoms, and layout utilities to enhance and complement the built-in ggplot2 offerings. It enables more advanced visualization techniques such as faceting enhancements, hulls, annotation marks, and novel layouts for network data and marked regions.

CrystalCMP is a code for comparing crystal structures. It is using two basic approaches for this purpose - the fingerprint and the RMSD approach. Result of the comparison is a similarity matrix and dendrogram. Read more here: J. Appl. Cryst. (2016). 49, 2172-2183 (https://doi.org/10.1107/S1600576716016058) and also here: J. Appl. Cryst. (2020). 53, 841-847 https://doi.org/10.1107/S1600576720003787

Clustergrammer is a visualization library built using D3.js that enables intuitive interaction with high-dimensional data. Clustergrammer was built with biological data in mind. Clustergrammer is a web-based tool for visualizing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap. Clustergrammer's front end (Clustergrammer-JS) is built using D3.js and its back-end (Clustergrammer-PY) is built using Python. Clustergrammer produces highly...

...Instead, it uses a rank-based test to measure how much each GO category is enriched with either up or down-regulated genes. The significant GO categories are clustered based on the number of genes shared between them and the results are represented in the form of a colored dendrogram (see screenshot).

UMatrix, Dendrograms and Heatmaps for Metabolomics and other data